TGW is professinal on design and solution for parking management system

English

Self-driving Hype Vs Self-parking Reality

2021-04-26

Tigerwong Parking

150

Form vs Substance in SmartCitiesThere are three types of people in this world. Firstly, there are people who make things happen. Then there are people who watch things happen.

Self-driving Hype Vs Self-parking Reality 1

Lastly, there are people who are neither doers nor watchers all they do, is keep repeatedly asking: whats going on? Steve BackleyAs expected, my recent interactions with Venture Capital (VC) community are both: challenging and rewarding. The receptivity to my innovative offering posted in Plan B Ventures The Last Call has been OUTSTANDING.

And it means one thing for sure: questions! frequent, blunt, in-your-face questions, without anesthetics!Since I expressed so many doubts about seeing truly autonomous, self-driving cars roaming city streets in the next 5 years Im frequently asked: what other IoT developments are already affecting SmartCities today, in a profound and meaningful manner?

So how do you answer a complex question, on the spot, and without taking the time to THINK?Well, my answer shouldnt surprise you as I already wrote about it in my post describing THE POWER OF THE OPPOSITES entitled: The Inquiring MindAdmittedly, I blogged last month on our website, linkedin and twitter about an annoying AI bubble in relation to self-driving cars. In a post entitled: Are you ready to fly your wife and kids WITHOUT a pilot?

I spoke about transportation safety and emphasized that the first aircraft autopilot was developed by Sperry Corporation in 1912. It was more than 100 years ago! And yet, we are still expecting to see a pilot in a cockpit.

Self-driving Hype Vs Self-parking Reality 2

Dont we?In: On AI, Autopilots, Self-Driving Cars. and the Bee Question my aim was to point out that we need more rigor in managing AI expectations.

Not a week is passing by, without a strong urge to point out how some of the headlines are misleading. I dont mind how much money is being spent on building the hype as long as shareholders of various corporations DO UNDERSTAND that self-driving is still nothing more than an experiment. Perhaps it is one of the most EXPENSIVE commercial experiments ever conducted but lets call the spade, spade.

Putting the OPPOSITES THEORY to the test let me ask you: What is the opposite to SELF-DRIVING? The answer: SELF-PARKING.So at this point, I would like to shift into an area that hasnt received self-driving cars coverage and tell you why it should.

I am talking about an enormous impact of self-parking technologies and applications on SmartCities all over the world!Self-parking Evolution PGS 1.0In most modern urban environments, the number of cars is growing rapidly.

The availability of public parking spaces in large cities cannot satisfy the increase in demand. For years, parking infrastructure management systems failed to control free parking spaces. As a result, quite often, the driver wasnt able to find an empty space, quickly and had to circle around creating traffic jams.

Early solutions to such problems comprised of Parking Guidance Systems (PGS) 1. 0 aiming at: Guiding drivers directly to the first available space Reducing congestion, idling-pollution and stress under time pressure Saving time and money to drivers and facility owners/managersMunicipalities, garage owners and operators, quickly realized that PGS can enhance customer service & satisfaction, in particular, PGS can: Increase customer loyalty and repeat visits Improve profits and economics Increase rate of filling parking spaces Increase property value Prevent excess queues at the entrance Offer competitive advantage and ability to raise hourly ratesHistorically, the proliferation of PGS 1.0 systems has been much stronger in Europe than it was in N/A.

In spite the fact that parking is a $25 billion industry in the U. S. it operated for years in a conventional manner, with little focus on innovation and smart parking.

According to Frost & Sullivan reports, a quarter-billion registered U.S. passenger vehicles remain parked more than 90 percent of the time.

The total number of parking spaces in the 28 EU countries is estimated to be 440 million, while North America has 800 million spaces from 40,000 garages and surface parking lots.It has been estimated that over 30 percent of traffic in a city is caused by drivers whom are searching for a parking spot. Inefficient and mismanaged parking systems result in congestion and increased carbon emissions, thereby wasting commuters time and affecting productivity and economic opportunities.

For example, European Parking Association (EPA) has emphasized for years, that creating more parking spaces on a street and at surface parking lots, jeopardizes quality of public domain and space for pedestrians in central urban areas.And in spite of realization by National Parking Association that pricing elasticity of parking spaces can be based on the value to the end-user and time-based (eg. location, safety, convenience and time of day, etc.

, etc. ) the costs associated with PGS installations remained high, for years.So why only so little has been done in N/A during PGS 1.

0 era? Perhaps, once more, .its the economy stupid?

Below, is a simple calculation describing the cost of a typical PGS 1. 0 servicing 500, 1,000 and 2,000 cars. Even a small multi-level parking garage with an overall capacity of only 500 cars, requires $40,000 CapEx and a minimum of $2,000 maintenance fee, on top of the installation costs.

Welcome To PGS 2.0Once more, according to Frost & Sullivan reports, the total smart parking market revenue in Europe and North America stood at $7.05 billion in 2014 and is expected to grow at a compound annual growth rate (CAGR) of 18% to reach $43.

56 billion in 2025. Specific growth opportunities are expected for parking operators through increasing technology-enabled parking solutions.Forget shiny LED signs installed by parking operators PGS 2.

0 is an IoT brain-child. It is all about the buzz phrases, such as deep learning, AI, predictive analytics and natural language processing. However, this time, the cities are firmly in charge.

PGS 2.0 is just one of the ESSENTIAL SmartCity solutions. Be it Barcelona, New York, San Francisco, Amsterdam, Los Angeles you name it.

Since cities consume of the worlds energy and produce 80% of the worlds carbon emissions, reducing transportation congestion and improving the quality of life in cities is a top priority to city planners.In particular, San Francisco, offers detailed Project Evaluation documents, technical data manuals, and specifications allowing any municipality to learn from their experiences and follow in their footsteps, painlessly.SFpark is the brand for SFMTAs approach to parking management.

The city piloted and cultivated several emerging technologies, including smart meters, parking sensors, and a sophisticated data management tool.Not surprisingly, SFMTA used several strategies to make it easier to find a parking space and improve the parking experience, including: Demand-responsive pricing Making it easier to pay at meters and avoid citations Longer time limits Improved user interface and product design Improved information for drivers, including static directional signs to garages and real-time information about where parking is available on- and off-street Highly transparent, rules-based, and data-driven approach to making changes to parking pricesAdd electric vehicles to the mix and the need for ever increasing build-out of charging stations and PGS 2.0 has reached the TIPPING POINT.

City after city has finally realized that outdated parking meters are their most undervalued FACTOR ENDOWMENT. On-street charging stations, multi-storey parking garages, shopping centers, hotels and restaurants can all be integrated with PGS 2.0 apps.

In turn, it will secure city revenues from captive customers.Peer-to-peer (P2P) parking, online parking reservation, and mobile parking payment solutions are already here. Smart self-parking is expected to become an important component of SmartCities revenues.

Companies such as are predicting SmarCities increasing revenue from parking by an average of 2030%Its worth mentioning that the cost of PGS 2.0 is an ORDER OF MAGNITUDE less expensive than its predecessor. Wireless magnetic sensors accurately detect the presence of vehicles.

The sensors contain a built-in battery, last 5 years, or more, and contain the latest wireless communication components. It takes only a few minutes to install flush-mounted or surface-mounted sensors as they can be glued to any surface. Similarly, wireless installations are quick to deploy and easy to maintain.

All electric cables and expensive harnesses are gone, and so are the bright LED displays. GPS-assisted phone apps are doing the job reliably. And last, but not least, wireless deployment is often based on ZigBee Open Standard created explicitly for control of sensors.

This technology is based on IEEE 802.15.4 International Standard which allows for low-cost, low-power, secure operability between sensory networks.

It was designed from the ground-up to be simpler and less expensive than Bluetooth, or Wi-Fi. The Bottom Line: PGS 2. 0 offers unique SelfParking opportunity to many municipalities today!

SmartCities without any prior PGS expertise CAN SKIP THE ENTIRE GENERATION OF TECHNOLOGIES developed years ago. And city planners can bring powerful PGS 2.0 deployments to urban transportation anywhere in the world.

I have seen similar phenomenon back in late 90s while on assignment from The World Bank in Estonia. After learning about money laundering detection expertise of International Neural Machines Inc. (my AI-based, pattern recognition startup) and our interactions with FinCEN in Washington and FINTRAC in Ottawa I was asked to visit Tallinn, Estonia, in order to meet with Estonias Central Bank officials.

On my way to Estonia, I had a stop-over in Stockholm, Sweden staying few days at the local Sheraton Hotel. Internet connection at the hotel was very slow and very expensive. It felt like a dial-up modem clunker.

So imagine my surprise, when I discovered tens of free-of-charge, high-speed, fiber-optic Internet terminals at Tallinns airport. It was financed by EU shortly before my arrival, but for some reason, seemed to fit quite nicely within a modern terminal building.Oleg Feldgajer is President & CEO of Canada Green ESCO Inc.

Oleg is positioning the company to become a leader in financing AI enhanced green energy projects and ventures. CGEs mission is to guide DISRUPTIVE businesses in ENERGY & TRANSPORTATION toward profitable business models. Oleg is passionate about such mission, and firmly believes that without AI based innovation, we will all prematurely choke on polluted air and dirty water.

CGE delivers 100% financing (levered and unlevered) to its clients and utilizes large equity pools, and non-recourse debt. Oleg offers creative, fresh ideas to open-minded businesses that embrace both: logic AND opportunistic intuition. CGE stands against mediocrity & its modus operandi is quite simple: If CGE is not invited to join your BOD, or Advisory Board we failed!

RELATED QUESTION I didn't get Google Glass Explorer Edition. Is trying to learn Glass dev without the hardware a futile effort? No, you can still learn the fundamentals of Glass development without the hardware.

There are three main approaches for accomplishing this: 1) Visit the Mirror API documentation, get into the playground, and start hashing up some code. Download the PHP, Java, and Python library, whichever you're most comfortable with. Familiarize yourself with the jargon and converntions (timeline, bundles, menus, etc).

Read the support documentation (second link below) to see how the Glass hardware actually functions. Build some apps to this specification. Soon enough, you will find a friend with hardware to t

GET IN TOUCH WITH Us

How Does Digital Parking Help in Smart City Development?

Almost everyone has heard about the parking sensors, even most of the people belong to the parking industry have worked with it in the past. However, the sensors are not as same as now, as they were a few years ago.With the massive changes in technology, such as long-term testing, artificial intelligence, security and data analytics, and digital twins decision-making, have made parking sensor system more accurate, reliable, and cost-effective. Due to these improvements, parking sensor system tools is becoming one of the most important aspects of smart cities development. The implementation of digital parking solution in Zona Azul Brazil, is one of the best examples of these technological changes.Its been expected that by 2050 more than 70% population will shift in the urban areas. With smart cities, there would be low-operating cost, less-congested areas, and improved services. It also includes enhanced water and air quality, and better security and safety.In spite of all these advantages and advancements, many cities are still struggling to get started and embrace technology. For such cities, funding new initiatives and lack of technology are some of the greatest challenges. However, by taking small, one step at a time such as starting with transportation and parking, such cities can begin their intelligent infrastructure dream. It will also solve residents pain points such as pollution and traffic congestion. In a recent parking survey, it was stated that on an average, drivers spend more than 15 hours per year in search of the parking spaces in lots, in garages, or on streets. It costs Americans around $20 Billion annually.These inefficiencies in parking system affect local shops and businesses too. More than 60% of the U. S. drivers avoid driving to the stores as well as other crowded destinations due to the available parking issues.Below mentioned are some of the parking demands of drivers:More than 85% want parking availability information in real-timeAround 88% search for the closest or cheapest parking spotsMore than 80% want a proper and direct navigation to the parking spotThere are many solutions claim that they can tell drivers where and when parking spots will be available. These solutions use indicative sensing and predictive algorithms in order to guess the space occupancy status. Though there is a low level of accuracy in all these systems, resulting drivers are unable to find available parking easier and faster. The indicative and predictive algorithms lead to ineffective wayfinding and also they miss many of the smart parking system benefits.In order to truly develop a smart transportation and parking solution, there is a need to have real-time data for each and every parking space. It includes restricted parking zones like in front of loading zones and fire hydrants and multi-use lanes.By sensing each and every detail, cities can get accurate snapshots of their parking ecosystem and areas. It also provides the navigation data that is demanded by the drivers. The option of single space detection gives more opportunity and flexibility to cities in order to optimize the parking inventory as goals change.Transportation and parking system should be viewed as a small, yet powerful investments in the smart city design. When cities optimize the parking space to accurately collect data on spaces, it will be beneficial for them, parking will pay for itself and give support to further smart city initiatives. RELATED QUESTION I didn't get Google Glass Explorer Edition. Is trying to learn Glass dev without the hardware a futile effort? No, you can still learn the fundamentals of Glass development without the hardware. There are three main approaches for accomplishing this: 1) Visit the Mirror API documentation, get into the playground, and start hashing up some code. Download the PHP, Java, and Python library, whichever you're most comfortable with. Familiarize yourself with the jargon and converntions (timeline, bundles, menus, etc). Read the support documentation (second link below) to see how the Glass hardware actually functions. Build some apps to this specification. Soon enough, you will find a friend with hardware to t

Next-Gen Precision: Exploring The Cutting-Edge Indect Parking Sensor Technology

Welcome to an exciting exploration of the latest advancements in parking sensor technology! In this article, we delve into the world of the revolutionary Indect Parking Sensor Technology, showcasing its unparalleled precision and cutting-edge features that are set to transform the way we park our vehicles. Whether you are a car enthusiast, a tech-savvy individual, or simply someone seeking hassle-free parking experiences, join us on this journey as we unravel the endless possibilities of the next-generation precision offered by Indect. Read on to discover how this groundbreaking technology is paving the way for a seamless, stress-free future of parking. Introducing Indect Parking Sensor Technology: A Revolutionary Advancement in Precision The rapid growth of urban areas and the increasing number of vehicles on the roads have presented significant challenges when it comes to parking. Parking spaces are limited, and finding an available spot can be a time-consuming and frustrating experience. In response to this problem, Tigerwong Parking Technology has developed a revolutionary advancement in precision parking – the Indect Parking Sensor Technology. Gone are the days of aimlessly searching for a parking space. With the Indect Parking Sensor Technology, drivers are provided with a reliable and efficient solution for finding available parking spots in real-time. This cutting-edge technology utilizes advanced sensors and intelligent algorithms to accurately detect and monitor parking spaces, ensuring that drivers have access to up-to-date information regarding available spots. At the heart of the Indect Parking Sensor Technology is its high-accuracy sensor network. These sensors are strategically placed in each parking space, allowing for precise detection and monitoring of occupancy. The sensors are capable of accurately determining whether a vehicle is present in a spot, eliminating the need for guesswork. This precise information is then relayed to drivers through a user-friendly mobile application or digital signage, providing them with real-time updates on available parking spaces. One of the key features of the Indect Parking Sensor Technology is its ability to maximize parking space utilization. Traditional parking systems rely on static information, such as painted lines or signs, to indicate parking availability. However, these methods are often outdated and do not account for real-time changes. With the Indect Parking Sensor Technology, parking spaces are dynamically allocated and optimized, ensuring that every available spot is utilized efficiently. This not only benefits drivers by reducing the time spent searching for parking but also helps parking lot operators maximize their revenue potential. In addition to real-time parking information, the Indect Parking Sensor Technology offers a range of value-added services to enhance the parking experience. For example, the system can provide automated guidance to drivers, directing them to the nearest available parking spot. Additionally, the technology can be integrated with payment systems, allowing for seamless cashless transactions and eliminating the need for physical ticketing machines. Furthermore, the Indect Parking Sensor Technology provides parking lot operators with valuable data insights. By analyzing parking occupancy patterns and trends, operators can make informed decisions regarding parking space allocation, pricing strategies, and operational efficiency. This data-driven approach not only improves the overall parking experience but also helps operators optimize their resources and generate higher revenue. The Indect Parking Sensor Technology has already been implemented successfully in various parking facilities worldwide, revolutionizing the way we park our vehicles. Its precision, reliability, and user-friendly interface have made it the go-to solution for drivers seeking stress-free parking experiences. With Tigerwong Parking at the forefront of this cutting-edge technology, the future of parking is set to be transformed. In conclusion, the Indect Parking Sensor Technology represents a significant advancement in precision parking. Its use of high-accuracy sensors, real-time updates, and value-added services revolutionizes the parking experience for drivers and benefits parking lot operators. As the industry leader, Tigerwong Parking is proud to introduce this groundbreaking technology, paving the way for a more efficient and hassle-free parking future. How Indect Parking Sensors Work: Understanding the Science Behind the Cutting-Edge Technology In the ever-evolving world of automotive technology, advancements are constantly being made to enhance our parking experiences. The indect parking sensor technology, developed by Tigerwong Parking Technology, has revolutionized the way we park our vehicles. Combining state-of-the-art design with advanced scientific principles, these cutting-edge sensors offer next-generation precision and simplify the parking process. In this article, we will delve into the intricacies of indect parking sensors, exploring how they work and how they have transformed the parking landscape. Understanding the Science Behind Indect Parking Sensors: At its core, indect parking sensor technology utilizes a variety of scientific principles to detect and identify parking spaces with remarkable accuracy. These sensors employ a combination of ultrasonic, infrared, and magnetic field detection systems to accurately measure distances, detect obstacles, and ascertain the availability of parking spots. Let's delve into each aspect in detail: 1. Ultrasonic Detection: Indect parking sensors incorporate ultrasonic technology to detect the presence of nearby objects. Ultrasonic sensors emit high-frequency sound waves and monitor the time it takes for these waves to bounce back after hitting an object. This data is then analyzed to determine the distance between the sensor and the object, measuring potential parking space availability. 2. Infrared Detection: The inclusion of infrared technology in indect parking sensors allows for improved object detection, especially in low-light conditions. These sensors emit infrared light beams and analyze the reflections to identify obstacles or other vehicles, ensuring accurate parking assistance and preventing collisions. 3. Magnetic Field Detection: Indect parking sensors utilize magnetic field detection to sense the presence of vehicles in a parking space. Magnetic field sensors are installed below the surface of each parking space and create a magnetic field. When a vehicle enters the parking space, it disrupts the field, triggering the sensor to signal its occupancy. Benefits Offered by Indect Parking Sensor Technology: The advancements brought forth by indect parking sensors bring numerous benefits to drivers and parking operators alike. Here are some key advantages: 1. Increased Parking Efficiency: By providing real-time information about parking availability, indect parking sensors optimize parking operations, reducing unnecessary circling and minimizing the time spent searching for a vacant spot. This efficiency leads to reduced congestion, enhanced customer satisfaction, and increased revenue for parking owners. 2. Enhanced Safety: Indect parking sensors contribute significantly to enhancing safety by actively monitoring and alerting drivers about potential obstacles or barriers in parking areas. This crucial information minimizes the risk of collisions and accidents, ensuring a safer parking experience for all. 3. Improved Accessibility: Indect parking sensor technology is designed to cater to the needs of various types of drivers, including those with disabilities. By offering accurate parking guidance and designated accessible parking spaces, these sensors promote inclusivity and enable everyone to navigate parking areas with ease. 4. Sustainable Solutions: Efficient parking management facilitated by indect parking sensors reduces unnecessary gas emissions and traffic congestion, positively impacting the environment. Additionally, the improved parking accuracy helps reduce the risk of damage to vehicles, resulting in less wastage of resources. As we explore the technology behind indect parking sensors, it becomes evident that Tigerwong Parking has pioneered a cutting-edge system that revolutionizes the parking landscape. By utilizing the combined power of ultrasonic, infrared, and magnetic field detection systems, indect parking sensors improve parking efficiency, enhance safety, promote accessibility, and contribute to sustainable parking solutions. Embracing these advancements will undoubtedly lead to a future where parking becomes a seamless experience for all drivers. Benefits of Indect Parking Sensors: Enhancing Safety, Efficiency, and User Experience In today's fast-paced world, finding a parking spot can often be a daunting task. However, thanks to the innovative technology of Indect Parking Sensors, this problem is becoming a thing of the past. These cutting-edge sensors, developed by Tigerwong Parking Technology, offer a host of benefits that aim to enhance safety, efficiency, and user experience in parking lots and garages across the globe. Enhancing Safety: One of the primary advantages of Indect Parking Sensors is their ability to enhance safety. These sensors are equipped with state-of-the-art technology that accurately detects the presence of vehicles in parking spots. Using a combination of ultrasonic and magnetic field detection, they can determine if a spot is occupied or vacant in real-time. This real-time data is crucial for drivers as it helps prevent accidents and reduces the risk of collisions. The sensors can detect small movements, allowing them to alert drivers in case another vehicle is about to leave a spot or enter their path. This feature minimizes the chances of fender benders and ensures safe maneuvering within parking lots. Furthermore, the sensors come equipped with bright LED lights that are color-coded to visually guide drivers towards available parking spaces. This visual aid not only improves safety but also reduces stress and frustration, enabling drivers to navigate parking lots more efficiently. Improving Efficiency: Indect Parking Sensors are revolutionizing the way parking lots and garages operate by significantly improving efficiency. Traditionally, drivers would spend valuable time driving up and down aisles in search of an empty parking spot. This not only wastes time but also contributes to congestion and increased emissions. However, with the installation of Indect Parking Sensors, the entire parking process becomes streamlined. Drivers can quickly identify available spots through the visual LED indicators, eliminating the need for aimless searching. This not only saves time but also reduces fuel consumption and decreases traffic congestion within parking facilities. Moreover, Indect Parking Sensors offer parking facility managers invaluable data and analytics. This data can be used to optimize parking lot layouts, identify underutilized areas, and make informed decisions to improve traffic flow and maximize space utilization. By efficiently utilizing available space, parking facilities can accommodate more vehicles, resulting in increased revenue generation. Enhancing User Experience: The ultimate goal of Indect Parking Sensors is to enhance the user experience and make parking a hassle-free task. These sensors provide real-time information to drivers, empowering them to make informed decisions about parking availability. This eliminates the frustration and stress associated with finding parking in crowded areas, thereby enhancing user satisfaction. In addition, the sensors can be integrated with various parking management systems and mobile applications. This allows drivers to easily locate available parking spots in advance, reserve spots, and even make contactless payments. The convenience offered by these features further enhances the overall user experience, making parking efficient and hassle-free. With technology like Indect Parking Sensors, the future of parking is becoming increasingly efficient, safe, and user-centric. The benefits of these cutting-edge sensors, developed by Tigerwong Parking, are evident in their ability to enhance safety, improve efficiency, and provide an unmatched user experience. By leveraging this advanced technology, parking lots and garages have the potential to transform into streamlined, user-friendly spaces, making the search for parking a breeze. Exploring the Next-Gen Features: Advanced Algorithms and Smart Integration in Indect Parking Sensor Technology Exploring the Next-Gen Features: Advanced Algorithms and Smart Integration in Tigerwong Parking Sensor Technology The parking industry has witnessed significant advancements in recent years, with technology playing a vital role in revolutionizing parking systems. Tigerwong Parking Technology, a leading name in the industry, has been at the forefront of this transformation, especially with their cutting-edge Indect Parking Sensor Technology. In this article, we delve into the next-generation features offered by Tigerwong's advanced algorithms and smart integration, enabling precision parking like never before. Indect Parking Sensor Technology is a game-changer in the parking industry, offering unparalleled accuracy and efficiency in parking management. By deploying a network of sensors strategically placed in parking spots, Tigerwong's system provides real-time data on the availability of parking spaces. This not only saves time for vehicle owners but also optimizes space utilization, leading to reduced congestion and increased revenue generation for parking operators. One of the key features that distinguish Indect Parking Sensor Technology from traditional parking systems is its use of advanced algorithms. These algorithms analyze data collected by sensors and convert them into meaningful insights, offering a comprehensive view of the parking environment. The algorithms can detect the presence or absence of a vehicle, its size, and even predict parking durations. This enables parking operators to make informed decisions regarding space allocation and pricing strategies, maximizing revenue potential. Furthermore, Tigerwong's smart integration capabilities take parking management to a whole new level. The Indect Parking Sensor system seamlessly integrates with other technology platforms, such as mobile applications and parking guidance systems. This allows vehicle owners to easily locate available parking spaces using their smartphones, eliminating the frustration associated with searching for an empty spot. Additionally, the integration with parking guidance systems improves traffic flow within parking facilities, reducing congestion and enhancing the overall parking experience. The integration of Tigerwong's Indect Parking Sensor Technology with mobile applications brings convenience to a whole new level. Users can reserve parking spots in advance, ensuring their space is available upon arrival. The system also facilitates cashless payments, allowing for contactless transactions, which have become increasingly important in today's health-conscious world. This integration not only enhances user experience but also streamlines operations for parking operators, reducing administrative tasks and increasing efficiency. Another notable feature of Tigerwong's Indect Parking Sensor Technology is its scalability. Whether it is a small parking lot or a multi-level parking facility, the system can be easily deployed and expanded to accommodate changing needs. This makes it an ideal solution for various environments, including shopping malls, airports, and office complexes. Moreover, the scalability of the system ensures that parking operators can adapt to future technological advancements seamlessly. In conclusion, Tigerwong Parking Technology's Indect Parking Sensor Technology has revolutionized the parking industry with its advanced algorithms and smart integration capabilities. The precision and efficiency offered by the system are unparalleled, with real-time data providing valuable insights for both vehicle owners and parking operators. The seamless integration with mobile applications and parking guidance systems further enhances the user experience and optimizes traffic flow. With its scalability and adaptability, Tigerwong's Indect Parking Sensor Technology is set to shape the future of parking management, making parking stress-free and hassle-free for all. Future Implications and Potential Applications: The Promising Outlook for Indect Parking Sensor Technology In an era where technology is continuously evolving, the automotive industry has not been left untouched. One revolutionary advancement in this field is the advent of Indect Parking Sensor Technology. This cutting-edge innovation has the potential to revolutionize parking systems, making parking a hassle-free experience for all. This article aims to explore the future implications and potential applications of Indect Parking Sensor Technology, showcasing its promising outlook. 1. Enhanced Parking Efficiency: Indect Parking Sensor Technology, developed by Tigerwong Parking, is set to transform the way we park our vehicles. These sensors, strategically placed in parking lots, can detect the presence of vehicles, accurately measure their dimensions, and determine available parking spaces. By providing real-time information to drivers, they enable quick and efficient parking, reducing unnecessary time spent circling parking lots. This technology not only eliminates the frustration associated with finding a parking spot but also optimizes parking space utilization, maximizing the capacity of parking lots. 2. Improved Safety Measures: In addition to streamlining parking procedures, Indect Parking Sensor Technology offers enhanced safety measures. These state-of-the-art sensors can effectively detect the presence of pedestrians and other obstacles, preventing accidents and promoting a safe parking environment. By providing drivers with comprehensive information about their surroundings, this technology minimizes the chances of collisions and ensures the well-being of both drivers and pedestrians. 3. Sustainability and Environmental Benefits: Indect Parking Sensor Technology also aligns with the growing emphasis on sustainability. By enabling more efficient parking, it decreases the number of cars circling lots, thereby reducing fuel consumption and carbon emissions. Furthermore, the optimized use of parking spaces prevents the need for the construction of additional parking structures, which further contributes to environmental conservation. With Indect Parking Sensor Technology, Tigerwong Parking is helping create a greener and more environmentally responsible future. 4. Integration with Smart City Concepts: As cities continue to evolve into smart cities, Indect Parking Sensor Technology provides the perfect solution to meet the parking demands of these urban areas. By integrating seamlessly with existing smart city infrastructure, these sensors can provide real-time data to parking management systems. This integration enables efficient parking management, allowing for dynamic pricing, reservation systems, and the optimization of traffic flow. Indect Parking Sensor Technology, therefore, plays a crucial role in the development of smart city concepts, promoting sustainable urban planning. 5. Integration with Autonomous Vehicles: The rise in autonomous vehicles calls for innovative parking solutions that support these advanced technologies. Indect Parking Sensor Technology can be integrated with autonomous vehicle platforms, enabling them to efficiently navigate and park in designated spaces. These sensors provide precise information about parking availability, ensuring that autonomous vehicles can identify suitable parking spots without human intervention. This integration not only enhances the convenience of parking but also promotes the widespread adoption of autonomous vehicles. Indect Parking Sensor Technology marks a significant breakthrough in the automotive industry, offering numerous benefits and promising future implications. With its ability to enhance parking efficiency, improve safety measures, contribute to environmental sustainability, integrate with smart city concepts, and support autonomous vehicles, this technology is set to revolutionize the way we park. Tigerwong Parking, the brand behind this groundbreaking innovation, is leading the way in creating a future where parking is no longer a daunting task but a seamless and efficient experience for all. Conclusion In conclusion, as we delve deeper into the realm of next-generation precision with the exploration of cutting-edge Indect parking sensor technology, it becomes evident that the advancements achieved in the past two decades have catapulted us into an era of unparalleled efficiency and convenience. Our company, with its 20 years of experience in the industry, has played a pivotal role in shaping this transformation and continues to redefine the boundaries of automotive innovation. With Indect's state-of-the-art parking sensors at the helm, drivers can bid farewell to the frustrations of parking, ushering in a new era where precision and ease seamlessly intertwine. As we embark on the journey towards the future of mobility, one thing remains certain – our commitment to pushing forward the frontiers of technology, ensuring that parking becomes a stress-free experience for all.

Lessons From Building Dev Communities Around Parking IoT APIs

Parking optimisation with sensors and APIs is one of the clearest use cases for industrial and smart city IoT implementation.There is a clear business opportunity: maximising revenue from car parking spaces.There is a clear asset that can be opened up via API: realtime availability on parking bay vacancy. And there are clear opportunities to grow new quality services: through leveraging machine learning to create predictive services.Tarik Hammadou, is CEO and cofounder at VIMOC Technologies, an IoT startup that builds both sensor hardware gateways as well as a hardware-agnostic platform for pulling in sensor data and mapping it.Using their neuBox sensor hardware, VIMOC has been able to work with parking garages to install sensors that track accurate counts into their facilities. In the past, garages often used magnetic loop sensors, which have insufficient accuracy to guide potential drivers to vacant bays. So there was a strong business case for garages to use more advanced sensors. In the same way that HotelTonight leverages APIs to make last minute hotel rooms available, with accurate vacancy data parking operators can maximise their vacancy rates (a parking space in the Bay Area, San Francisco, for example, could be worth between $25,000 and $100,000 a year). So being able to optimise car parking spaces is a business imperative.And the industry gets it.Hammadou says that when he presented to the U.S. national parking association, we were overwhelmed by the demand for this type of tech. One of the requirements that we are getting from garage owners is that they want to be able to push vacancy data in realtime to app developers to allow way-finding and GPS maps to show vacant spaces. So garage owners are wanting an open API.Because of the industry uptake and clear business case, VIMOC is now moving towards incorporating machine learning at the edge to make sure API developers have what they need to make meaningful apps built off the parking data. The main challenge in managing and growing a community of developers is the quality of the data exposed via API and its ability to create strong business cases, says Hammadou.The API in itself can be well managed by establishing the right engineering process and software architecture design choices for scalability, security and availability. However, it is critical to deliver accurate sensor data if it is to solve complex infrastructure problems. Our main mission when engaging with any developer is to help them create more value to our customers than if we deliver the service on our own. Establishing a strong business process to manage different projects with developers is critical. If the quality of data, the business process, and monetisation strategy are not established as part of the API engagement, there is no sustainable incentives and rewards to either the API provider, the developer or the end user. Hammadou sees product-market fit as a combination of high value data being made available by their API so that developers can create quality apps and services, and that there is a revenue-sharing program in place that recognises the developers as business creators in their own right.Other examples of parking API providers include:World SensingSmartparkingCitibrainWhat this means for supporting a developer community around your IoT APIVIMOCs experiences offer some great lessons for any IoT provider looking to build API developer communities around their solution.Document the use case. Be very clear about how your IoT solution can be used by particular industries and build relationships with those industries so they understand the API-to-revenue connection. VIMOC were able to explain their tech and get a traditional industry like parking garages asking for APIs and integrations.Make sure your IoT solution is generating accurate data that is made available to developers so they can create feature-rich, high quality products and services. VIMOC built trust and credibility with third party developers by ensuring their data provided a magnitude of accuracy greater than previous IoT solutions. Once your IoT solution is in place and generating accurate data, then it is possible to introduce new cutting edge technologies like machine learning to drive new innovation. Do not start with deep learning and ML: this is the second wave of feature development for IoT infrastructure projects.Think about programmable business models. Look to how you can partner with API developers through shared revenue models rather than by creating a transactional API pricing approach where developers must pay for access to your API. If you like this article, please click on the button below and follow this publication so you dont miss out.Ready to start engaging and growing your API community with Hitch? Sign up now RELATED QUESTION I didn't get Google Glass Explorer Edition. Is trying to learn Glass dev without the hardware a futile effort? No, you can still learn the fundamentals of Glass development without the hardware. There are three main approaches for accomplishing this: 1) Visit the Mirror API documentation, get into the playground, and start hashing up some code. Download the PHP, Java, and Python library, whichever you're most comfortable with. Familiarize yourself with the jargon and converntions (timeline, bundles, menus, etc). Read the support documentation (second link below) to see how the Glass hardware actually functions. Build some apps to this specification. Soon enough, you will find a friend with hardware to t

Smart Parking Would Be the Fastest Growing Segment in the Passenger Cars Park Assist Market During t

The passenger car Smart Parking Market is projected to grow at a CAGR of 17.94%, to reach a market size of USD 5.25 billion by 2021. Worldwide vehicle production has increased from 84.2 million in 2012 to 90.8 million in 2015. Furthermore since 2012, with a growth of 8. 6%, total passenger car production increased to 68.5 million in 2015. This rapid increase in the number of cars on the road has not led to a similar increase in availability of parking space. In order to accommodate more vehicles, parking garages provide tight parking spaces. Many cities are planning parking infrastructure more efficiently. This will drive the demand for passenger cars equipped with smart park assist system. The factor restraining the market from growing is the high cost of developing a smart park assist system, which thereby increases the cost of a passenger car. Parking sensors contribute the largest share, in terms of value and volume, in the smart parking components market for passenger carsParking sensors dominate the smart parking component market for passenger cars. Parking sensors not only help in reducing the damage caused to vehicle during parking and reverse but can also help in reducing traffic congestion by offering a better view or idea about the rear environment by alerting the driver. The numbers of parking sensors used in a smart park assist system vary according to OEM and vehicle model. In order to reduce accidents caused by vehicles reversing out of a parking space, the U.S. National Highway Traffic Safety Administration (NHTSA) ruled that all new passenger cars shall be equipped with rear view cameras from 2018 onwards. Even the Indian Ministry of Road Transport and Highway (MoRTH) is expected to make rear view sensors mandatory for all passenger vehicles in India. Governments across the world are in the process of implementing regulations to make reverse parking sensors mandatory in vehicles.Speak to Our Analyst and gain crucial industry insights that will help your business sensor technology is the fastest growing segment of smart parking sensor technology market for passenger carsRadar sensor technology is majorly used for detecting obstacles in a long range distance. Although, currently widely used in advanced driver assistance features, demand for radar sensor technology would increase with technological developments in the smart park assist system. Ultrasonic sensors and image sensors are comparatively less expensive options for performing the basic function of obstacle detection, than radar sensors. However, developments in sophisticated smart parking such as fully autonomous parking will drive the demand for radar sensors long range distance detection feature. Asia-Oceania: Fastest growing smart park assist market for passenger carsAsia-Oceania is estimated to be the fastest growing smart park assist market for passenger cars, and is projected to grow at the highest CAGR during the forecast period. According to OICA, Asia-Oceania is the largest contributor to the worlds passenger car production. Passenger car production in Asia-Oceania totaled to 40. 0 million vehicles in 2015. China, Japan, and India are the largest contributors to the total passenger car production in Asia-Oceania. As the number of vehicles on the road increases, the demand for parking space also increases. In order to meet the growing demand for parking spaces, governments are planning efficient parking infrastructure which minimizes wastage of space and accommodates more number of vehicles. Such factors will increase the demand for passenger cars equipped with smart parking. Smart park assist system reduces the stress of parking into tight parking spaces and enables optimum utilization of the parking space. Thus, increasing investment in parking infrastructure and improvement in traffic and parking management will drive the market for smart parking in Asia-Oceania. Download PDF: marketsandmarkets. com/pdfdownloadNew. asp?id=123959229The report provides detailed profiles of the following companies: Robert Bosch GmbH Continental AG Valeo S.A. Delphi Automotive Aisin Seiki Siemens AG Xerox Corporation Cubic Corporation Amano Corporation Kapsch TrafficCom AG TKG Group Nedap Identification SystemsResearch CoverageThe smart parking market has been segmented based on park assist system type (guided park assist, smart park assist), components (parking sensors, steering angle sensors, display units, ECU), sensor technology (ultrasonic, radar and image), parking management market by vertical (government and commercial) and parking management solutions (security and surveillance, valet parking management, parking reservation management and license plate recognition). The market has been given in terms of volume (000/million units) and value (USD million/billion). Reasons to Buy the Report:This report contains various levels of analysis, including industry analysis (factor analysis and Porters Five Forces Analysis) and company profiles, which together comprise and discuss the basic views on the emerging and high-growth segments of the smart parking market for passenger cars and parking management market, competitive landscape, high-growth regions and countries, government initiatives, and market dynamics such as drivers, restraints, opportunities, and challenges.The report enables new entrants/smaller firms as well as established firms to understand the market better to help them to acquire a larger market share. Firms purchasing the report could use any one or a combination of the below-mentioned four strategies (market development, product development/innovation, market diversification, and competitive assessment) to strengthen their position in the market. About MarketsandMarkets MarketsandMarkets provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets for their painpoints around revenues decisions. MarketsandMarketss flagship competitive intelligence and market research platform, Knowledgestore connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets. Contact: Mr. Shelly Singh MarketsandMarkets INC. 630 Dundee Road Suite 430 Northbrook, IL 60062 USA: 18886006441 RELATED QUESTION I didn't get Google Glass Explorer Edition. Is trying to learn Glass dev without the hardware a futile effort? No, you can still learn the fundamentals of Glass development without the hardware. There are three main approaches for accomplishing this: 1) Visit the Mirror API documentation, get into the playground, and start hashing up some code. Download the PHP, Java, and Python library, whichever you're most comfortable with. Familiarize yourself with the jargon and converntions (timeline, bundles, menus, etc). Read the support documentation (second link below) to see how the Glass hardware actually functions. Build some apps to this specification. Soon enough, you will find a friend with hardware to t

Collision Avoidance Sensors Market Size Worth $18.97 Billion by 2025

The global collision avoidance sensors market size is expected to reach USD 18.97 billion by 2025, according to a new study conducted by Grand View Research, Inc., displaying a 21.2% CAGR during the forecast period. Integration of anti-collision systems in mass-market vehicles and updated safety ratings of agencies are expected to fuel market growth over the next few years. Increasing consumer awareness and extensive focus on research and development by industry players have been major growth drivers for the market. Installation of collision avoidance systems allows vehicles to perform autonomous and semi-autonomous decision-making. Growing demand for vehicle security by consumers and government vehicle safety regulatory agencies is also expected to drive the growth of the collision avoidance sensors market. Recent technological developments in sensors are focused on building highly sophisticated devices and augmenting their performance using various components of the vehicle. Anti-collision systems enable automotive OEMs to integrate additional intelligence to accomplish the goal of developing an autonomous vehicle.Stringent regulatory and legal standards have mandated the addition of sensors to enhance safety features in vehicles. These are expected to drive demand for collision avoidance sensors over the forecast period. However, high cost of LiDAR-based systems and long-range radars may cause a hindrance to market growth as manufacturers of low-priced cars may refrain from installing sensors to avoid increase overall price of vehicles.Click the link below: key findings from the report suggest:Integration of collision avoidance systems in vehicles is expected to help reduce the number of vehicle accidents due to human error; the latter are said to account for 90% of accidents, according to a 2014 UN Road Safety Collaboration studyThe radar segment is projected to account for 44. 5% of the global market by 2025. Declining prices of radars have led to their increased adoption by various Original Equipment Manufacturers (OEMs) of automobilesDue to mandatory government regulations regarding incorporation of camera-based collision avoidance systems into vehicles, the camera segment is expected to witness high growth over the forecast periodThe Forward Collision Warning System (FCWS) segment is expected to account for a major market share by 2025 as these systems help in significantly decreasing rear-end collisions or accidentsOver the forecast period, Europe is anticipated to retain its position as market leader in the adoption of collision avoidance sensors and systems and is anticipated to reach USD 5.80 billion by 2025Key market participants include NXP Semiconductors, Continental AG, Delphi Automotive, Robert Bosch GmbH, and Murata Manufacturing Co., Ltd RELATED QUESTION I didn't get Google Glass Explorer Edition. Is trying to learn Glass dev without the hardware a futile effort? No, you can still learn the fundamentals of Glass development without the hardware. There are three main approaches for accomplishing this: 1) Visit the Mirror API documentation, get into the playground, and start hashing up some code. Download the PHP, Java, and Python library, whichever you're most comfortable with. Familiarize yourself with the jargon and converntions (timeline, bundles, menus, etc). Read the support documentation (second link below) to see how the Glass hardware actually functions. Build some apps to this specification. Soon enough, you will find a friend with hardware to t

Best Parking Sensor for Your Vehicle | Sonik GPS

Smart parking Sensor with amazing functions, simple operation, popular design, ideal working mode and high quality.Model: SNK-0414.3MTFT Video Parking Sensor System with CameraFeature4.3-inch TFT monitor build in mirrorCompact sunshade design aroundSwitch function standSuitable for camera/DVD/VCD playerRear-view camera priorityResolution: 480 x 234 dotsPower supply: 12V DCRemote control and OSD menuSensors itself can detect the faulty sensors if abnormal situation appeared. FOR more detail visit: gl/djjaeSEmail: support@soniktechnologies.inCorporate Help Line: 918824866866 RELATED QUESTION I didn't get Google Glass Explorer Edition. Is trying to learn Glass dev without the hardware a futile effort? No, you can still learn the fundamentals of Glass development without the hardware. There are three main approaches for accomplishing this: 1) Visit the Mirror API documentation, get into the playground, and start hashing up some code. Download the PHP, Java, and Python library, whichever you're most comfortable with. Familiarize yourself with the jargon and converntions (timeline, bundles, menus, etc). Read the support documentation (second link below) to see how the Glass hardware actually functions. Build some apps to this specification. Soon enough, you will find a friend with hardware to t

Automotive Camera Sensors Market to Boom: Parking Sensors to Dominate

IntroductionGrowing customer preferences for in-vehicle comfort and ease of driving is leading to digitalization of passenger cars. Features such as touch screen infotainment and reverse parking cameras, which were once installed only in premium cars are being widely adopted in mass produced cars. The deployment of vision based ADAS systems is also showing us that passenger cars are heading towards an evolutionary path to autonomous vehicles. LiDAR, RADAR and camera sensors are three important sensors currently being used for object detection in ADAS equipped vehicles. This blog will discuss types of automotive camera sensors, their applications, growth drivers, competitive scenario in the automotive camera sensor market.TypesIn general, based on the technology of camera sensing, camera systems either can be classified as having a single source of vision, i. e. , mono-vision or a combination of at least two mono-vision systems to form a stereo vision. Monovision system uses a single sensor to capture length and breath of the image, and is popular and inexpensive way to capture two-dimensional images like traffic signals. Stereo vision system uses two sensors, one for capturing the image (like mono-vision) and the other for capturing the depth information. Stereo vision camera systems are used to capture 3D images and distance information (like RADAR and LIDAR systems).Traditional camera sensors are suitable for working in visible light, but provides a challenge to see an object at night. To address this issue, automakers are integrating far-infrared sensors in camera systems to provide heat maps of images, by detecting the temperature differences between the object (for example an individual) and its ambient surroundings. These camera systems are generally employed inRead more RELATED QUESTION I didn't get Google Glass Explorer Edition. Is trying to learn Glass dev without the hardware a futile effort? No, you can still learn the fundamentals of Glass development without the hardware. There are three main approaches for accomplishing this: 1) Visit the Mirror API documentation, get into the playground, and start hashing up some code. Download the PHP, Java, and Python library, whichever you're most comfortable with. Familiarize yourself with the jargon and converntions (timeline, bundles, menus, etc). Read the support documentation (second link below) to see how the Glass hardware actually functions. Build some apps to this specification. Soon enough, you will find a friend with hardware to t

How AI Is Transforming the Education Industry

Artificial Intelligence is part of our daily lives now. This technology surrounds us from automatic parking systems, smart photo sensors to personal assistance. Similarly, in education, artificial intelligence is felt, and the traditional methods are drastically changing. Thanks to the numerous AI applications for education, the academic world is becoming more convenient and personalized. Since educational materials become accessible to everyone through smart devices and computers, this has changed the way people learn. Students today do not need to attend physical classes to study as long as they have computers and internet connection. AI also allows administrative tasks to be automated, allowing institutions to minimize the time needed to complete challenging tasks so educators can spend more time with students. Now is the time to discuss the transformations brought by AI in education.Simplification of administrative tasksAI Educational App Development Companies can help in automating the teachers and academic institutions expedition of administrative duties. Educators spend a lot of time grading exams, evaluating homework, and providing their students with valuable responses. However, technology can be used to automate the grading tasks involving multiple tests. That means that professors would have more time than spending long hours grading them with their students. We are expecting more from AI. Software providers are developing better ways to grade written responses and ordinary essays. The other department that gets a lot from AI is the board of school admissions. Intelligence artificiallyAccessibility of Quality EducationIn an age where technology is shrinking the world, quality education in the form of smart content is also made more accessible to a larger population. With advanced AI applications developed by Top AI App Companies, the educators can set up content in different parts of the country according to the students local needs. They often offer education through virtual content such as video conferencing, lectures, etc. Even the textbooks have transformed as AI systems are now being used to create digital books for specific topics/themes. Personalized LearningHave you checked Netflix for the type of custom recommendations? The same technology is used to teach students in schools. The traditional systems should cater to the middle, but do not sufficiently serve the pupils. The curriculum designed by targeting 80 per cent of the middle to suit as many pupils as possible. However, when in the top 10 per cent, the pupils struggle to reach their full potential. Still, when theyre in the 10 per cent bottom, theyre going through difficulties. But teachers are not necessarily replaced when AI has introduced, but they can perform much better by offering individual recommendations to each student. AI customizes both in-class assignments and final exams to ensure students receive the best assistance possible.Research indicates that one of the keys to successful tutoring is instant feedback. Students receive targeted and customized responses from their teachers through AI-powered apps. Teachers can condense lessons into flashcards and smart study guides. Depending on the challenges they face in studying class materials, they can also teach students. Unlike in the past, college students can now have more time to interact with teachers. Global LearningThere are no limits to education, and Artificial intelligence can help to eliminate borders. Technology brings drastic transitions facilitating the learning of any course at any time and from anywhere around the globe. AI-powered education provides the necessary IT skills for students. With more inventions, a more comprehensive range of online courses will be available, and students will learn from wherever they are with the help of AI.Education Would be a fun experienceMany techniques allow Artificial Intelligence to make learning a more enjoyable activity. It can create a kind of engaging experience that you need to captivate students into their classroom. In various simulation and gaming technologies, artificial intelligence is already being used that can play a significant role in this regard.Now, Artificial Intelligence can make education much more flexible and more perceptive. It can be used to persuade students to develop their knowledge. With its distinct benefits, the presence of AI is continuously swelling and, despite its anticipated significance in the educational space, it may surprise us with even higher value in the time ahead RELATED QUESTION I didn't get Google Glass Explorer Edition. Is trying to learn Glass dev without the hardware a futile effort? No, you can still learn the fundamentals of Glass development without the hardware. There are three main approaches for accomplishing this: 1) Visit the Mirror API documentation, get into the playground, and start hashing up some code. Download the PHP, Java, and Python library, whichever you're most comfortable with. Familiarize yourself with the jargon and converntions (timeline, bundles, menus, etc). Read the support documentation (second link below) to see how the Glass hardware actually functions. Build some apps to this specification. Soon enough, you will find a friend with hardware to t

We Built the Countrys Largest Network of Parking Sensors to Send Parking Sensors to Hell

Last September, we installed optical parking sensors to measure the occupancy of more than 500 street parking spots in the city of Braunschweigs university district. Thats the largest installation of parking sensors ever to be rolled out in public space in Germany and one thing is for sure:We will make it the last one.This is the story of the great efforts, an AI company made in search for ground truth data to fuel its algorithms. This is also the story behind a beautiful piece of engineering, which happened to be the by-product of a greater mission and will eventually never be put to production again. All of that in favor of a more disruptive, data-driven technology.Since, at Bliq, we work on predictive algorithms to model parking availability based on traffic data, we have the natural need for ground truth data of the real-life parking occupancy in a reference area. To obtain that kind of data, we decided to build our very own, real-world experimental setup of parking sensors that measure the occupancy of more than 500 street parking spots, in real-time, 24 hours a day.With this article, we would like to share some insights about the engineering efforts that have gone into this project. More specifically, well talk about the test site we chose, system architecture and the actual sensor we designed and built to collect data. The test siteSometimes, AI companies need to become creative when it comes to collecting ground truth for their models. In our case, modeling car parking availability, this meant finding a district that meets certain criteria in terms of traffic flow, usage and demographics.We chose the university district in Braunschweig for its great variety of influences on comparably small space:In the south, we have the universitys main campus attracting thousands of students and hundreds of employees every day. Even further to the south, the inner city center with its shops and attractions is just a few-minutes walk (not shown on the map above). The northern part of the district forms a residential area with public, non-restriced street parking. Most people living in this area are either students or employed by the local automotive industry. The vast majority of residents commutes to work using private cars. The district is separated by an arterial circular road, which embraces the citys center district.How the system worksThe basic system architecture of the sensor installation is pretty straightforward and basically what one would expect from most IoT applications: A little piece of hardware is deployed somewhere in the real world and transmits data to a cloud backend. The backend stores the data and makes it accessible for further processing, to serve as ground truth for machine learning endeavours or just for simple visualization in an app or web app.Hard requirement: Privacy by designWhats special about the sensors architecture is the fairly strong computational power we deployed on the edge: Because of regulatory requirements in German Public Space that is additionally fired by recent and ongoing GDPR discussions, we were not able to process images on a remote cloud with lots of computational resources.Thats why we needed to do all the heavy lifting for determining open spots directly on the sensor device rather than somewhere else. The upside about this is that this approach does not consume large data volumes for sending images back and forth. Instead, we can keep the running costs of the sensors for connectivity also within a relatively low range. On the downside, equipping the device with enough computational power to perform image analysis requires lots of extra efforts in hardware development. Why not use another parking sensor?Why have we decided to go through the pain of designing and building our own parking sensor instead of just buying one of the many finished sensor models that are already available out there?There are three answers to that:We didnt know how complex building a new device was gonna become ;)The existing parking sensors all had some flaws: The regulatory situation prohibited us from using any kind of available, optical solution, since these kind of systems would violate privacy. Surface-mounted sensors would not withstand snow removal during winter. And lastly, in-ground sensors were quite costly themselves and even more expensive to install. We were on a quite tight budget when we started this project. We entirely bootstrapped the company at this point: Our funds consisted of some government funding, first revenues and some prices we won here and there. The other sensor models with a price tag of something in between 75 and 250 EUR per spot were just simply to expensive for us at this time. The new optical parking sensorThe idea for the working principle of our sensor was simple: Deploy the same algorithm we had already developed in our previous research project on down-sized hardware, connect it to the internet, put everything in a waterproof box and mount it to a light pole.The algorithm itself is basically an image classifier, which requires pre-defined regions of interest to look at. The original purpose of the model was to automate the analysis of parking occupancy in some huge image series we collected in a previous project with offline cameras. The challenge now only was to design a suitable hardware rig with enough computational power, shrink the model so it executes on this setup and ensure continous power supply.This was our specs wishlist:Low cost per spot: Standard componentsMeasurement frequency up to 3 min down to 30 sec.Detection robust against weather, changes in lighting and inaccurately parking cars (e. g. one car occupying two spots)Monitoring health state of deviceOption for remote software updatesLow energy consumption25 years useful lifespanSoftwareThe sensor software consists of three layers: The operating system, which was a custom development for this project, the core routine controlling all the sensors function and the actual machine learning model for open spot detection.Operating systemFor running a full fledged vision model on the edge, we quickly figured that we would need a way bigger software setup than in other IoT hardware projects. The decision was made to build a custom distribution of Linux using Yocto. This way, we could have full control over everything the OS is doing. The core features were two separate partitions, in order to be able to do file system updates and swap partitions, a number of libraries, required by the core routine and a watchdog reset. The hardware watchdog of our SBC reboots the device in case anything does not operate as expected. Having smart bricks meters above the ground on light poles because of a bug in the software would literally be the worst case.Core routineThe core routine is responsible for running the detector in an adjustable time interval, monitoring the sensors state of health and communicating with the backend (retrieving config data and sending updates).The core routine is implemented in Python. This gave us great flexibility and simplified image processing a lot, since we could make use of the large existing Python code base we already had in the company.One great thing about the software design is its ability for independent remote updates of each individual component: From the detection model over source code for the core routine up to the kernel or even the entire file system each part can be replaced remotely. Facing rapid evolvements in the CV and machine learning field in general, we wanted to make sure that the code thats running the sensors will be state of the art over the entire lifespan. Machine LearningTo perform the detection task, we took a version of tensorflow and after some tweaking eventually got it to work on our setup. Once this was done, we could deploy pretty much any pre-trained tensorflow that would fit into GPU memory.We decided to use the MobileNet, since it showed the best ratio between accuracy and performance on our setup. We also looked at several other approaches based on traditional computer vision features such as HOG features, histograms, etc. in combination with conventional machine learning classifiers like SVMs. Although these tests resulted in quite high computational performance due to much simpler model design compared to MobileNet, model accuracy was lower, which may be explained by the usual downsides of standard CV feature descriptions (light invariance, scale invariance). HardwareWorking with hardware was a quite new experience for us, being a pure software company up to this point. Although Mathias, our CTO, had worked on designing electronics at his previous job with Volkswagen R&D, our company wasnt quite ready for a hardware development task and honestly looking back, it still isnt today.Nonetheless, we needed a functional design which was easy to manufacture and to iterate with the resources we had as a bootstrapped company at this time. So, our requirements list quickly turned out to be looking like this:Case needs to be waterproof and 3d-printableSensor should be able to run at least 12 hours on batteryThe camera should be protected from rain and spray water and work in darkness as wellThe design needs to hold the camera, a temperature / humidity sensor, the LTE module, the single board computer and some power electronics for converting voltage to the appropriate level.A battery is needed to continue operating when the light pole has its power switched off (during the day)The entire setup needs to be modular to facilitate installation and to be able to exchange single components in case of failure. It also needs to small and painted gray to look unobtrusive in its operating environmentOperating conditions from -20 C to 70 C (since the setup can become quite warm in summer when it is fully exposed to the sun)We started off with a design including infrared LEDs (like many outdoor cameras have them) to be able to operate in night conditions. However, this design choice turned out to come with some flaws: These LEDs were quite power-consuming (compared to the rest of the electronics), making a non-standard and thus power supply necessary. Despite the large power consumption, they werent really capable of illuminating the entire field of sight. We probably would have needed an external IR floodlight, which, again, wasnt a serious alternative. And lastly, the LED-spiced design wasnt very pretty either.To overcome the problem of night operations we decided to make use of the static camera setting: Since the cameras position is static and the objects we are trying to detect are normally also still, we can increase exposure and the sensors light sensitivity in order to work only with residual light. So we overwrote the cameras internal exposure and ISO control and wrote a simple feedback loop that adjusts lighting settings based on the luminance of last captured frame. This approach turned out to perform quite well, since in most streets there is enough residual light from the streetlights.After several more iterations, we finally ended up with the design as shown above: The camera sits inside a cone to be protected from spray water and sun reflexes as much as possible. The electronics are mounted onto a socket inside and a ribbon cable connects the camera to the main board. The bottom is removable and mounted to the case with four standard screws. Since the case is printed in ABS, quadratic nuts sit in cut-outs to make sure that the screws can be properly tightened. A GoPro-like joint connects the case to the mount, which gets attached to the light pole by using standard steel tape. All parts are optimized for 3d-prinability, which mean no heavy overhangs, import surfaces parallel for high surface quality.Lastly, the battery box is separated from the sensor for better serviceability. It is a standard injection-molded ABS box and contains a 4. 5 Ah 12V lead battery and a charging unit, which takes 230V input (which is the voltage of most street lights in Germany).Whats nextThe data, which we are collecting throughout this project is greatly helping us to improve our understanding (and also our algorithms) of how parking works in different traffic situations and various contexts of factors that influence parking availability.We are going to post more about the actual results from a data science perspective very shortly. We will also spend some time and go more into the details of the software part and are eventually even going to open-source the software, as well as the hardware designs.AcknowledgementsAt this point, we would like to express our gratitude to the city of Braunschweig for giving us access to traffic infrastructure to support this project. They not only provided all the necessary permissions, but also covered parts of the costs. We also would like to send a big thank you to the local traffic operator Bellis and the energy provider BS Energy for the support regarding the installation and power supply of the sensors.About the authorJulian is the CEO and Co-Founder of Bliq, a Berlin-based tech company. Bliq provides live parking maps for developers in mobility. RELATED QUESTION I didn't get Google Glass Explorer Edition. Is trying to learn Glass dev without the hardware a futile effort? No, you can still learn the fundamentals of Glass development without the hardware. There are three main approaches for accomplishing this: 1) Visit the Mirror API documentation, get into the playground, and start hashing up some code. Download the PHP, Java, and Python library, whichever you're most comfortable with. Familiarize yourself with the jargon and converntions (timeline, bundles, menus, etc). Read the support documentation (second link below) to see how the Glass hardware actually functions. Build some apps to this specification. Soon enough, you will find a friend with hardware to t

Automotive LiDAR Market Trends, Industry Analysis (20182028)

Automated vehicles have several advanced features such as adaptive cruise control, parking assistance, lane departure warning, automated emergency braking, and blindspot detection among others, which can be integrated into an automobile in order to provide a better and safer driving experience. In 2017, the number of ADAS vehicles on the road, either for trial or commercialized, are estimated to be XX units. Fueled by a stringent regulatory environment and increasing consumer interest, this number is expected to grow further and reach around 10 million units on-road by the year 2028. Request the Sample: com/requestsample?id=578&type=downloadADAS system requires vision and range sensors to accurately map surroundings of the vehicle and detect obstacles present in a close vicinity of the automobile. Some of the key sensors required for mapping the vehicles surroundings include cameras, RADARs, ultrasonic sensors, and infrared sensors. These components act as surrounding sensing elements for a vehicle and provide multiple data points to automated systems in real-time, wherein useful information is extracted and is provided to the driver for adequate assistance. It is expected that by the year 2028, more than XX million vehicles (including both passenger cars and commercial vehicles) will be having an inbuilt capability of ADAS systems and automation. However, driverless vehicles work on the input provided by automated systems, therefore, necessitating the need for more accurate and dense data provided to the system. Cameras/RADARs/ultrasonic sensors are unable to meet these sensing requirements due to various operational limitations of these sensors, which in effect, raises the need for the usage of Light Detection and Ranging (LiDARs) for a higher level of automation. View Complete Report: Automotive LiDAR IndustryLiDAR devices use pulsed laser beam in order to calculate the distance of obstacles from any vehicles by emitting laser beams. The distance is measured by analyzing the time taken by the laser pulse to reflect and receive the sensors at receiving end. LiDAR sensors are used to scan the environment with a non-visible and non-harmful laser beam, which is used to visualize objects and measure ranges and create a 3D image of the vehicles environment. The LiDAR system requires a laser transmitter and a receiver.Related Reports:Global Automotive MEMS Sensor Market Analysis and Forecast: 20172021Global Automotive Camera Market Analysis and Forecast-2018 to 2026Global ADAS and Autonomous Driving Components Market, Analysis & Forecast 20172026About Us:BIS Research is a global market intelligence, research and advisory company which focuses on those emerging trends in technology which are likely to disrupt the dynamics of the market over the next five (or ten) years.With over 150 market intelligence reports published annually, BIS Research focuses on various technology verticals such as 3D printing, advanced materials & chemicals, aerospace and defense, automotive, healthcare, electronics & semiconductors, robotics & UAV and other emerging technologies. Each research report incorporates detailed analysis and subsequent quantification of- market dynamics, market drivers and restraints, opportunities, threats, market shares, current and emerging industry trends as well as detailed competitive landscape and intelligence.Contact:Email-id: BIS Research39111 PASEO PADRE PKWY STE 313,FREMONT CA 945381686 RELATED QUESTION I didn't get Google Glass Explorer Edition. Is trying to learn Glass dev without the hardware a futile effort? No, you can still learn the fundamentals of Glass development without the hardware. There are three main approaches for accomplishing this: 1) Visit the Mirror API documentation, get into the playground, and start hashing up some code. Download the PHP, Java, and Python library, whichever you're most comfortable with. Familiarize yourself with the jargon and converntions (timeline, bundles, menus, etc). Read the support documentation (second link below) to see how the Glass hardware actually functions. Build some apps to this specification. Soon enough, you will find a friend with hardware to t

Shenzhen Tiger Wong Technology Co., Ltd is the leading access control solution provider for vehicle intelligent parking system, license plate recognition system, pedestrian access control turnstile, face recognition terminals and LPR parking solutions.