[Parking Sensor for Sale]the Correct Way to Link the Parking Sensor Circuit?

The correct way to link the parking sensor circuit?Parking sensor supplier China shares that many people do not know how to connect the line after the purchase of parking sensor, below small make up for you to introduce how to correctly link the vehicle detector line connection method.1.

[Parking Sensor for Sale]the Correct Way to Link the Parking Sensor Circuit? 1

Before wiring, we should first read the circuit diagram of the parking sensor manual purchased. After all, each manufacturers circuit is different. 2.

After knowing the circuit diagram, now we start wiring. First, separate the red, yellow, blue and black wires.3.

Cut off the rubber cover of the thread and put it into the stitches. 4 set, red black, yellow and blue are twisted into a twist.5.

Finally, the connected parking sensor.Thats all for the sharing,and we supply BMW PDC Sensor for sale, if you have any demand for our products,just feel free to contact us RELATED QUESTION I didn't get Google Glass Explorer Edition. Is trying to learn Glass dev without the hardware a futile effort?

[Parking Sensor for Sale]the Correct Way to Link the Parking Sensor Circuit? 2

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

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How Does Digital Parking Help in Smart City Development?
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
Lessons From Building Dev Communities Around Parking IoT APIs
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
Laser Guided Parking  with Motion Activated Parking Aide That Guides Two Cars into a Garage
Laser Guided Parking with Motion Activated Parking Aide That Guides Two Cars into a Garage
The Laser Guided Parking Attendant is your perfect partner if you want an aide every time you want to park your car in your garage, thanks to its motion activated function, now you can precisely park 2 cars without any problem.Unlike ordinary parking aide solutions, this model is very easy to follow because it has a laser guided feature that you can easily mount to your garage ceiling in order to help you prevent collisions with your wall, ladder and other garage object.This parking attendant is unique because once your car approaches 15 feet from the sensor, it automatically triggers its red laser pointer beam straight into a perfect spot, perfect if you want an optimal parking distance from any garage objects. The Laser Guided Parking Attendant has a laser guide that remains lit just to make sure you already have a perfect parking position and best of all, it already includes all the necessary hardware for mounting. Measures only 4x3.5x1.5 inches in length, width and diameter and only weighs 12oz.Watch the parking attendant in action -[HERE] -. 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
UI Design for 2HP Mobile Application
UI Design for 2HP Mobile Application
Cities are getting smarter and more efficient by the day. These emerging smart cities utilize electronic data collection sensor to monitor various city wide services. This opens up many new opportunities when designing new experiences. Moving forward with this project, I asked myself the following question: how might we improve and design better experiences within the context of those emerging smart cities?.Having efficient street parking is vital to the fast paced nature of the urban lifestyle. I conducted research and found many issues that arose with the current parking spot experience. Several key issues with parking spots include finding a parking spot in close proximity to your destination, the anxiety surrounding an expiring meter, as well as taking advantage of under utilized parking spots.These issues opened up many opportunities for me to design a new and improved digital experience. My goals for this project were to design a future facing app that will:Allow users to effortlessly find parking spotEliminate the uncertainty surrounding driving to new placesAutomate payment through the use of mobile phonesI started by creating a mood board for the application. (What is a mood board? A mood board is an arrangement of images, materials, pieces of text, etc., thats intended to evoke or project a particular style or concept.)Ultimately I decided to design a new parking app. My research was primarily focused on trying to answer these questions:The key themes :Easy to get startedSimple to NavigateDesigned with usability in mind firstSleek interfaceHelpful beyond just simple turn by turn navigationThe visual language for 2HP:Colours: Active, Bright, Uplifting, HappySpace: NeatMovement: Fast, Smooth, ElegantShapes: GeometricSo with these keywords in mind I began my research and created these style tiles:Wireframes:When thinking about the image of 2HP, I wanted to convey a sense of reliability but at the same time 2HP is a high-tech, future facing and exciting product.2HP is a finding parking spots app, It works much like other Google maps and Waze apps, but instead work solely for navigation towards finding parking spots. The app displays spots depending on the current or searched destination as either paid parking, free parking or promotional spots. 2HP aims to make the experience of parking much easier providing users with a street free, efficient and convenient street parking experience.How it works :2HP uses a digital sensor technology called 2HP Card that connects your car to the parking meter you new parked at. Once connected, your 2HP card automates the payment process by calculating the total time you have parked on that spot. Home Screen:2HP welcomes the users with a map view of parking spots nearby them. A large button is situated on the top of the screen for users to search for their destination. there is a time icon for users to reserve a parking from before. On the bottom, users can look for parking spots. Parking spots show different parking options: Free, Paid, and Discounted/Promotional that locations nearby that have a lot of open parking spots. Also, Being able to find the fastest parking spot by sorted by proximity and they can see how many free parking spots are in each area. Prototype:Click here to view the project 2HPThis prototype brought to you by InVisionAppinvis.io 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
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
Global  Growth Is Driven by Rising Demand
Global Growth Is Driven by Rising Demand
Parking management system assist drivers to find an open space for parking the vehicle. This system gathers real-time data through sensors installed in various parking space and provide the information to drivers about the availability of parking space at any desire location. The key factors driving the market globally is focus on reduction in fuel pollution, seamless traffic flow, increased vehicles production leads to parking concerns, and concern for security, safety, and connectivity. The consistent developments in its technology and solutions have also encouraged consumers to adopt parking management solutions.The global report has been segmented on the basis of solution type, Component, parking facility, application, and region.Global has been segmented into off-street and on-street, on the basis of component. The off-street segment in the is anticipated to register highest CAGR in next ten years. This can be attributed to factors such as adoption of advanced mobile applications, coupled with improved ticketing, and payment solutions for parking management.The global has been segmented into revenue management, security & surveillance, access control, reservation management, and valet parking management, on the basis of solution type. The revenue management are anticipated to grow at highest CAGR during the forecast period and is projected to contribute major market share in terms of revenue in next eight years.On the basis of region, the global is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. North America is expected to witness significant growth in near future owing to huge number of automobiles user in countries such as Canada, and US, and increasing demand for solutions for traffic congestion. Moreover, major countries in Europe such as Germany, Spain, and UK are adopting advanced parking management solutions for traffic congestion, and transportation problems, which is a major factor driving growth of the Europe .Key players operational in the global market include Siemens AG, Xerox Corporation, Skidata AG, Kapsch Trafficcom AG, Swarco AG, Cubic Corporation, Amano Corporation, Inrix, Inc., T2 Systems, Inc., and Indigo 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
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
Self-driving Hype Vs Self-parking Reality
Self-driving Hype Vs Self-parking Reality
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. 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. 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
[parking Sensor China]These Are Important Points When Choosing a Sensor
[parking Sensor China]These Are Important Points When Choosing a Sensor
[parking sensor China]These are important points when choosing a sensorSensors are widely used in the industrial field. Different industries use different sensors.Therefore, there are many kinds of sensors. After selecting the right sensor, the corresponding detection method and equipment can be determined, so the rationality of sensor selection is very important. Today, the Volvo PDC Sensor China will explain the selection of sensor:1. Determine the type of sensor: according to the characteristics of the detected and the use conditions of the sensor, consider the following specific issues: the size of the range of the detected object; Whether the volume of the sensor conforms to the detection environment; Whether the detection method is contactless or contactless; Are the sensors imported or made in China? We must first consider the type of sensor we choose, and then consider the other characteristics of the sensor. 2. Sensor accuracy: BMW PDC Sensor Supplier China shares that sensor accuracy is a very important performance index, because it is related to the whole detection system detection accuracy of an important link. The higher the precision of the sensor, the more expensive its price is, so the accuracy of the sensor as long as it meets the accuracy requirements of the whole detection system can be, do not have to choose too high. In this way, the cheaper and simpler sensor can be selected among many sensors that meet the same detection purpose. 3. Selection of sensitivity: generally within the linear range of the sensor, the higher the sensitivity, the better. The value of the output signal corresponding to the change of the sensor with high sensitivity and the detected object is relatively large, which is conducive to signal processing. However, it should be noted that the sensitivity of the sensor is high, and external noise unrelated to the detection is also easy to mix in, which will also be amplified by the amplification system, affecting the detection accuracy. 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
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