Garda to Get New Face Recognition Software for Tracking ...

What You Should Know About ANPR(Automatic Number Plate Recognition) SystemIn this world of technology and innovation, almost everything is possible. Today, we can go to Mars, the moon, or any other planet we want to.No no, we are not going to discuss planets in this article. In earlier times, it was very difficult to note down the number of vehicles. Not just for traffic police but for security purposes also, its quite necessary to have technology like the ANPR system. With the help of this, one could have all the information about every vehicle which crosses the path of the ANPR system. What Is ANPR System?It is a software that helps to recognize the number plate automatically by accomplishing intricate optical character recognition on images to read the license plates of any vehicle.This system works in a very unique way. First, it takes the image of the vehicle as input and then returns the decoded vehicle plate, timestamp, and confidence status of the decoding algorithm. You will be amazed to know that it can analyze the image in 50 to 100 ms to allow real-time management. What Is The Use Of the ANPR System In India?It is really very important to tell you the need for ANPR in India. You will be amazed to know that, in every four-minute, there is one death due to over speeding of vehicles. Also, more than 200,000 cars are stolen per year. ANPR is used for various factors and in numerous fields like law enforcement security, neighborhood law, and parking management. With the help of which, you can easily monitor the average velocity of the vehicle, in addition to that, you will also get to know vehicles that exceed the speed limit.Hence, it can be said that with the help of this system, its really easy to maintain law and order, which in last, helps to minimize the amount of road accidents. Other Importance Of ANPR SystemBelow, we have listed some of the applications or we can say the advantages of an ANPR system. Improved Security Monitoring And Surveillance Less Manned Surveillance Still And Video Footage Tollgate vehicle accessChallenges Faced By ANPR SystemIts true that technology is very advanced nowadays but it also faces some of the difficulties and the same goes for the ANPR system. One of the main difficulties that is faced by ANPR is the nonuniformity of license plate number models for different places(cities or countries). RELATED QUESTION Do you need an Engineering degree to be called an Engineer? You can call yourself anything you want.but if you ADVERTISE yourself as an engineer you need to have an engineering license. This is otherwise known as a Professional Engineer. Its a very hard set of tests (one general, the other area specific). most people with engineering degrees will never have need or use of such a license in their careers. In general, you will need such a license if you need to sign off on a project. That is, to put your signature on a piece of paper stating that the particular work product meets certain standards set forth by the government. Such standards are usually put into place when there is a life safety risk at play (a licensed engineer will need to sign off in the design of a new bridge for instance, or a piece of medical equipment).software engineering used to be a licensable area. However it was found that there was so little demand and need, and so few people actually bothered to take the test that they no longer offer it. I have a degree in computer engineering. I am extremely well versed in all areas of engineering that are necessary to take the PE licensure exam. I never bothered to take it (well, thats not true as my university required everyone to sit for it as part of their graduation requirements, but it was not necessary to pass so you had large number of people show up, but their names down and then just leave, of which I was one). I served a summer internship at Siemens medics laboratories during my college career. I saw first hand what the rigor was for medical equipment design and decided that I wanted to go into telecoms and that did not require a PE license.I have never needed one in my now 35 year career. But I have worked in various projects where there was someone required to sign-off. Usually one person out of a team of dozens or hundreds of engineers

Automatic number-plate recognition (ANPR) is a technology that uses optical character recognition on images to read vehicle registration plates to create vehicle location data. It can use existing closed-circuit television, road-rule enforcement cameras, or cameras specifically designed for the task. ANPR is used by police forces around the world for law enforcement purposes, including to check if a vehicle is registered or licensed. It is also used for electronic toll collection on pay-per-use roads and as a method of cataloguing the movements of traffic, for example by highways agencies. Automatic number-plate recognition can be used to store the images captured by the cameras as well as the text from the license plate, with some configurable to store a photograph of the driver. Systems commonly use infrared lighting to allow the camera to take the picture at any time of day or night.ANPR technology must take into account plate variations from place to place. Concerns about these systems have centered on privacy issues, such as government tracking citizens' movements, misidentification, high error rates, and increased government spending. Critics have described it as a form of mass surveillance.Components The software aspect of the system runs on standard home computer hardware and can be linked to other applications or databases. It first uses a series of image manipulation techniques to detect, normalize and enhance the image of the number plate, and then optical character recognition (OCR) to extract the alphanumerics of the license plate. ANPR systems are generally deployed in one of two basic approaches: one allows for the entire process to be performed at the lane location in real-time, and the other transmits all the images from many lanes to a remote computer location and performs the OCR process there at some later point in time. When done at the lane site, the information captured of the plate alphanumeric, date-time, lane identification, and any other information required is completed in approximately 250 milliseconds.[citation needed] This information can easily be transmitted to a remote computer for further processing if necessary, or stored at the lane for later retrieval. In the other arrangement, there are typically large numbers of PCs used in a server farm to handle high workloads, such as those found in the London congestion charge project. Often in such systems, there is a requirement to forward images to the remote server, and this can require larger bandwidth transmission media. Technology ANPR uses optical character recognition (OCR) on images taken by cameras. When Dutch vehicle registration plates switched to a different style in 2002, one of the changes made was to the font, introducing small gaps in some letters (such as P and R) to make them more distinct and therefore more legible to such systems. Some license plate arrangements use variations in font sizes and positioning—ANPR systems must be able to cope with such differences in order to be truly effective. More complicated systems can cope with international variants, though many programs are individually tailored to each country. The cameras used can be existing road-rule enforcement or closed-circuit television cameras, as well as mobile units, which are usually attached to vehicles. Some systems use infrared cameras to take a clearer image of the plates. Technology ANPR uses optical character recognition (OCR) on images taken by cameras. When Dutch vehicle registration plates switched to a different style in 2002, one of the changes made was to the font, introducing small gaps in some letters (such as P and R) to make them more distinct and therefore more legible to such systems. Some license plate arrangements use variations in font sizes and positioning—ANPR systems must be able to cope with such differences in order to be truly effective. More complicated systems can cope with international variants, though many programs are individually tailored to each country. The cameras used can be existing road-rule enforcement or closed-circuit television cameras, as well as mobile units, which are usually attached to vehicles. Some systems use infrared cameras to take a clearer image of the plates. Algorithms The license plate is normalized for brightness and contrast, and then the characters are segmented to be ready for OCR. There are seven primary algorithms that the software requires for identifying a license plate: Plate localization – responsible for finding and isolating the plate on the picture.Plate orientation and sizing – compensates for the skew of the plate and adjusts the dimensions to the required size. Normalization – adjusts the brightness and contrast of the image.Character segmentation – finds the individual characters on the plates.Optical character recognition.Syntactical/Geometrical analysis – check characters and positions against country-specific rules.The averaging of the recognised value over multiple fields/images to produce a more reliable or confident result. Especially since any single image may contain a reflected light flare, be partially obscured or other temporary effect. The complexity of each of these subsections of the program determines the accuracy of the system. During the third phase (normalization), some systems use edge detection techniques to increase the picture difference between the letters and the plate backing. A median filter may also be used to reduce the visual noise on the image.

ANPRWhat is ANPR?by:Shenzhen TGW Technology Co.,LtdAutomatic number Plate Recognition (ALPR) is a technology that can detect the Vehicle on the monitored road and automatically extract Vehicle License Plate information (English letters, Arabic Numbers and Plate color) for processing. License plate recognition is one of the most important parts of modern intelligent transportation system. Based on digital image processing, pattern recognition, computer vision and other technologies, it analyzes the vehicle images or video sequence taken by the Anpr camera to obtain the unique license plate number of each vehicle, thus completing the recognition process. Parking fee management, traffic flow control index measurement, vehicle positioning, car theft, automatic superhighway overspeed supervision, red light electronic police, highway toll station and other functions can be realized Because of a serious of follow-up processing . It is important for maintain traffic safety, fighting crime,prevent traffic jam and realize traffic automation management.Common application scenarios of ANPR1.ANPR in fighting crime    In fact, we can pinpoint the culprit of many traffic violations or other crimes by tracing to the license plate. Many intersections are equipped with a red light violation detection system, and the most important part of this system is intelligent number plate recognition system modules, the system record the number plate of vehicle , and then analysis which are suspicious vehicles according to Database comparison, determine illegal information, thus reducing the illegal behavior, control the status of the traffic on the road to ensure safety.Countries around the world are actively using ANPR to combat crime.On April 24， 2015,it was announced that Victoria Police to consider implementing $86 million live video ANPR system for patrol carsin November 2014, it was announced that The Royal Malaysian Police (PDRM) was to employ an Automated Number Plate Recognition(ANPR) system to identify vehicles with foreign registration plates with unsettled summonsesOn December 20, 2018， the local authority of Redbridge Announced that  £1.5m ANPR cameras installed to fight crime.Automatic number plate recognition software is proving invaluable to the Huntly police force.Within four hours of using the ANPR equipment last week, the team of eight stopped over 25 vehicles, including a car which had been stolen by knifepoint in Northland.2.anpr in parking lot management     Nowadays, more and more parking lots have improved access to ANPR to improve management efficiency. The traditional parking system cannot meet people's needs because of the high labor cost and low management efficiency. The parking lot managers are planing to update the traditional parking systems into smart parking systems      The traditional parking system can be modified by the automatic number plate recognition (anpr) technology. The ANPR camera captures the vehicle information and the image of the person clearly, so that the owner can enter and exit the parking lot without stopping. It can also monitor the running status of all online devices, realize equipment fault pre-discovery, self-repair, query various report functions in real time, and provide customers with on-site information in the form of multiple pictures, with real-time query charge amount, the system breaks through the region. Sexual restrictions have enabled remote management across the country. The parking lot charging system is charged automatically and supports the current popular mobile payment or login to a special parking app for payment. The whole process is fast and convenient.       At present, the traditional parking lot management system is prone to cause congestion during the peak hours of commuting. The traffic efficiency is extremely low because of the simple function of the system. Traditional parking lot does not have the functions of helping the owner to find a parking space, finding a car and paying a fee quickly. Manual charging also leads to capital loopholes, makes difficulty in collecting money for change, etc. it is necessary to install a separate database and front-end display for the parking lot during installation. The ANPR system adopts a fully automatic computer management mode. From the exit of the parking lot to the gate and then to the management center, all of them are maneged by the automatic control computer to make it convenient to manage. ANPR decrease the time we spend on vehicle entering the parking lot and leaving the parking lot. And it can easily realize unmanned operation at the entrance and exit, and automatically charge, which can greatly save costs. Therefore, the intelligent parking system that can meet the needs of the management and the owners has very high potential, and the future development prospect is very broad.Sorts of ANPR SYATEM    The basic hardware configuration of a license plate recognition system is composed of A ANPR camera, master controller, acquisition card and lighting device. The software is composed of an image analysis and processing software with license plate recognition function and a background management software to meet specific application requirements.License plate recognition system has two sorts of products, one is a combination of hardware and software, or the realization of hardware recognition function module, forming a full hardware license plate recognition, such as DSP. Another sort is open software and hardware system, that is, hardware adopts standard industrial products, software as embedded software. Both the two product formats have advantages as well as disadvantages. The advantage of the open system is that the hardware adopts standard industrial products, and the operation and maintenance are easy to grasp. The purchase of spare parts can be obtained from any manufacturer, and there is no need to worry about the permanent failure of products or procurement difficulties due to the failure or shortage of supply of one manufacturer. The integrated hardware and software products make it easier for users to operate and control the products. For later maintenance debugging is also easier to grasp.Anpr working process    Automatic number plate recognition is a pattern recognition technology that USES dynamic video or static images of vehicles to automatically recognize license number and license color. Its hardware base generally includes trigger equipment (monitoring whether the vehicle enters the field of vision), camera equipment, lighting equipment, image acquisition equipment, processor (such as a computer) that recognizes the license plate number, etc. Its software core includes license plate positioning algorithm, license plate character segmentation algorithm and optical character recognition algorithm. Some ANPR systems also have the ability to determine whether there is a car by using the video vehicle detection techno. A complete license plate recognition working process(as shown in figure ) should be include of vehicle detection, image acquisition, license plate recognition and other parts . When the vehicle detection part detects the arrival of a vehicle, the image acquisition unit is triggered to collect the current video image. The license plate recognition unit processes the image, locates the license plate position, then separates the characters in the license plate for recognition, and then output the license plate number.ANPR system Technical indicators    There are three indexes to evaluate a number plate recognition system: recognition rate, recognition speed and background management system. Of course, the premise is that the system should be able to operate reliably.1.ANPR Recognition rate    Whether a ANPR system is practical or not, the most important index is the recognition rate. The international traffic technology has made the special identification rate index elaboration, the request is 24 hours all-weather brand accurate identification rate above 95%.In order to test the recognition rate of a number plate recognition system, it is necessary to install the system in a practical application environment, operate 24 hours a day or more, collect license plates of at least 1000 natural traffic flows for identification, and store license plate images and recognition results for retrieval and viewing. Then, it is necessary to get the image of the actual passing vehicle and the correct result of manual identification. Then the following recognition rate can be calculated:1. The identification rate of natural traffic flow = the total number of correct identification of the full plate/the total number of actual passing vehicles2. The percentage of identifiable license plates = the total number of license plates correctly read by human/the total number of vehicles actually passed3. The correct recognition rate of all plates = the total number of license plates correctly recognized by all plates/the total number of license plates manually read. These three indicators determine the recognition rate of license plate recognition system.2.ANPR  Recognition speed    Recognition speed determines whether a license plate recognition system can meet the requirements of real - time application. A system with a high recognition rate, if it takes a few seconds or even minutes to recognize the result, will not be practical because it cannot meet the real-time requirements in practical applications. For example, speed is a powerful way to reduce travel time and avoid lane congestion in an application that USES license plate recognition to reduce travel time.The speed of identification proposed by international traffic technology is less than 1 second, the faster the better.3.ANPR Background management    The background management system of a license plate recognition system determines whether the license plate recognition system is useful. It is important to keep in mind that it is impossible to achieve a 100% recognition rate because the license plate is defaced, obscured, obscured, or the weather may be bad (snow, hail, fog, etc.). The functions of the backend management system should include:    1. Reliable storage of identification results and vehicle image data, which can protect image data from loss when the multi-function system operation makes the network error-prone, and facilitate manual investigation afterwards;    2, effective automatic alignment and query technology, the recognized license plate number with the database of thousands of license plate number automatic alignment and alarm prompt, if the license plate number is not read correctly when the use of fuzzy query technology to obtain the relative "best" comparison results;    3, a good license plate recognition system for network operation, but also need to provide real-time communication, network security, remote maintenance, dynamic data exchange, automatic database update, hardware parameter Settings, system fault diagnosis.  How to choose ANPR provider1.Attaches great importance to stability    With the improvement of product algorithm and industry technology, integration is not an important topic for a long time, but the most important point at the present stage is "stability". Stability is defined as: within a given speed range, the accuracy must be achieved without excessive error due to external environmental influences.For example, a license plate system that is more than 90 percent accurate during the day, down to 80 percent in the evening and 70 percent at night is more difficult to integrate than a license plate recognition system that is on average 70 percent accurate throughout the day. Because the user might think, now that the recognition rate of 90% during the day, the all-weather only reasonable accuracy is 90%, this specification does not include strange environment interference (torrential rain, hail, fog, sections, etc.), and set up the environment limit (, big wind shake height limit restrictions, it is not easy to artificial damage, etc.). 2.Product testing    Almost every company claims to have high recognition rate, but in order to avoid later because both sides cognitive difference of product, and to each other, the responsibility of dysfunctional users in purchasing the license plate recognition system, as well as for product testing, and test had better more than two weeks time, compare results can determine whether "exaggerated". Because of the changeable environment, two weeks should be able to grasp about 80% of the conditions that may affect the identification rate of the field. If you only measure it for a day or even a few hours, you cannot understand it.     In addition, since license plate recognition is a "system", the hardware and software architecture will certainly affect the "present results". As to what kind of software and hardware are suitable for what kind of environment, it must be different from environment to environment, because different application environments may not have the same requirements on identification rate, and this must be accumulated by experience.Although there are a variety of license plate recognition system on the market, the use of the product and structure, can save a lot of wasted money and time, but more importantly, the project and system integrators need to cooperate with and understand, rather than blindly focus on a brand is better, cheaper, nothing is cheaper.    In addition, whether the license plate recognition system can make the most use of the software technology, the camera and the field construction ability, also have a great deal to do. Users may request the manufacturer to the scene after the exploration, the paper puts forward establishing planning, the assessment should set up the first place, using an Angle, whether you need to set up auxiliary light source, etc., offer again, by these actions, in addition to assess in advance ability and users themselves can also achieve product learning and education training, management, in the future will be more clearly know the restrictions on the use of the products and the relevant measures. More info in wikipedia

license plate recognition system work followAs one of the important components in the intelligent transportation system, the automatic license plate recognition technology has been widely used in urban road monitoring, highway toll collection and monitoring, community and parking lot entrance and exit management, public security security card, etc. hot spot.The license plate recognition system is equipped with digital camera equipment and computer information management system and other software and hardware platforms. Through the collection of vehicle images, advanced image processing is adopted. Pattern recognition and artificial intelligence technology find the position of the license plate in the image, extract all the character images that make up the license plate number, identify the characters, letters and numbers in the license plate, and finally give the real number of the license plate.The license plate recognition is the process of sequentially realizing the license plate location, license plate character segmentation and license plate character recognition algorithm of the car image. The license plate location is to extract the license plate image from the image containing the car and the background, the input is the original car image, and the output is the license plate image.The character segmentation of the license plate is to divide the characters from the license plate image by preprocessing, geometric correction, etc. of the license plate image, and divide it into individual characters. The input is the license plate image obtained after the license plate is positioned, and the output is preprocessed and geometric. A set of individual character images obtained after correction, and the dot matrix data of each character is obtained. Character recognition is to extract character feature data from a single character dot matrix data in turn, and give a recognition result.by:Shenzhen TGW Technology Co.,Ltd

license plate recognition companyShenzhen TGW Technology Co., Ltd is the leading license plate recognition company for vehicle intelligent parking system and license plate recognition system        Every company will have different departments. Generally, a self-operated company has a promotion department, and this department will have its own operating team. The main responsibility of this promotion department is to promote your company's various products, attract consumers or companies that have the opportunity to cooperate, and assist the business department to achieve a single business. Therefore, for start-ups, this promotion department is more important. The company that has just started is in the absence of various resources without reputation, customers, and channels, so promotion becomes even more important. What does an experienced company operations team do? Then I will give an example, such as Foshan license plate recognition company, their operation team mainly has three major strategies. license plate recognition company operating strategy 1: network promotion        People with experience know that the Internet is the easiest place to publicize in society at the same time. At the same time, this is also the place where the competition is the most fierce. Each search platform is a must for all manufacturers. The network platform is particularly important, as long as it takes the first place, it can "dominate the world." Therefore, a newly opened license plate recognition company must have a place on the network platform. license plate recognition company operating strategy 2: Online activities for offline registration        It can be said that it is available to people from all over the world on the online platform. For Foshan license plate recognition company, the most unfortunate thing is not that the user wants to buy but cannot complete the transaction because of various geographical reasons; Users, but customers do not know that there is a local license plate recognition company and go online to buy other license plate recognition company products, which is the most pity for a company. Therefore, the experienced operation team often organizes some small activities for online registration and offline participation to let local residents know the “existence” of the company and reduce the loss of orders. license plate recognition company operating strategy 3: coordinate and handle the relationship between old users        Most of the performance of many companies is contributed to by old customers. Someone once investigated a company's performance report for one month and found that more than 70% of the performance was contributed by old customers and only 20% to 30% of new customers. This survey The report made major companies think deeply, so experienced operating teams will handle the relationship with old customers.The above are the three major strategies of the Foshan license plate recognition company operation team. I hope it will help some companies that are just starting out.  How many college students come out for internships or work every year? There should be millions of them! There are as many junior and senior year internships as there are freshmen entering each year. These are balanced. But in today's society, how can it accommodate so many people for internship work, even if it can accommodate so many college students, will they be proud and accept all kinds of hard and unpleasant jobs? This is simply impossible for them. College students can try to start their own businesses and run a license plate recognition company.

Alpr softwareby:Shenzhen TGW Technology Co.,LtdWith the rapid development of society and the economy, cars are playing an important role in people's work, production and life. The overall number of cars is increasing rapidly, transportation has become more and more difficult to be managed, traffic problems have also emerged. what is more, these problems are becoming More and more complicated.With the emergence of Alpr software, roads, vehicles, and users were closely unified. Alpr software played an all-round role in society and was a real-time, accurate, and efficient car management system. The most important thing about Alpr software is the license plate recognition algorithm. The identification algorithm is a technology with the highest gold content in the entire system, and its research and development costs also occupy the bulk of the entire product research and development costs. The research and development team spends the most effort and time on the algorithm.Alpr Software function 1: grayscale imageWith the development of science and technology, a variety of color photos and color technologies have become widespread, but these color images contain a lot of irrelevant information. For the recognition algorithm, the color image will cause a lot of interference, so the algorithm needs to gray it.Alpr Software function 2: Image preprocessing(1) Edge detectionImage edges are the basis for image segmentation, target area recognition, and area shape extraction. They also play a very important role in extracting license plate locations, so edge detection is very necessary.(2) Image corrosionImage erosion can erode the edge image. After the erosion, an image of the target area can be obtained, which greatly reduces the target range and improves the accuracy of the license plate recognition algorithm.(3) Fill the imageFilling an image is a closed operation on the image, used to smooth the outline of the image, and used to fill tiny holes, cracks, broken targets, etc. in the target.(4) Morphological filteringFinally, morphological filtering is used to remove a large number of irrelevant small objects, and the rest are the targets that need to be identified.Alpr software function 3: License plate positioningAfter the pre-processed images, the rest are rectangular pictures of different sizes. You only need to find the rectangular figure of the license plate in these graphics to implement the next step. By some calculations, the position of the license plate can be found out, and the content of the rectangle can be extracted.Alpr software function 4: Character segmentationCalculate the sum of each column by column from left to right through the binary image, distinguish it by using 1 and 0, and finally split each character out.Alpr software function 5: Character recognitionAfter the characters are segmented, how does the algorithm need to recognize each character? First, establish a recognition sample database, read the segmented and normalized characters, match the cut characters with the template library, and finally get all the data of the segmented characters.Alpr software works like this.For more info,please click here to wikipedia.

License plate recognition working principle by:Shenzhen TGW Technology Co.,LtdThe license plate recognition technology is based on the image segmentation, image recognition theory .The technology is used to analyzes images containing a number plate to determine the position of the license plate and further extracts and recognizes the text characters. A typical license plate recognition process includes image acquisition, image pre-processing, license plate positioning, character segmentation, character recognition, and result output. Per process is complementary to each other. All process must ensure its high efficiency and high anti-interference ability. Only in this way can the identification processing achieve a satisfactory result. There are two main ways to implement the license plate recognition system, one still images recognition, and the other is dynamic video stream recognition. Image recognition is limited by factors such as image quality, license plate defacement, and license plate tilt. Dynamic video stream recognition requires faster recognition speed, which is limited by the performance indicators of the processor, especially when we want to realize real-time license plate recognition on mobile terminals,it requires more performance optimization. Although the license plate recognition includes six major processes, the core algorithm is only located in three modules: license plate positioning, character segmentation, and character recognition. License plate positioning The main task of license plate positioning is to find the area of license plate from the still picture or video frame and separate the license plate from the image for subsequent processing module processing. License plate positioning is one of the important factors that affects system performance. At present, there are many ways to locate license plates, but in general, they can be divided into two methods: First, the method based on graphic imaging. There are mainly (1) color-based localization methods, such as color edge algorithm, color distance and similarity algorithm, etc .; (2) texture-based localization methods, such as wavelet texture, horizontal gradient differential texture, etc .; (3) edge detection-based Positioning method; (4) Positioning method based on mathematical form. The positioning method based on graphics and image technology is susceptible to interference caused by external interference information and causes positioning failure. For example, in the color analysis-based positioning method, if the background color of the license plate is similar to the color of the license plate, it is difficult to extract the license plate from the background. In the method based on edge detection, the stain on the edge of the license plate can easily cause the positioning failure. The interference of external interference information will also deceive the positioning algorithm, causing the positioning algorithm to generate too many non-license plate candidate regions, which increases the system load. Second, the method based on machine learning. Machine learning-based methods include feature engineering-based positioning methods and neural network-based positioning methods. For example, we can train a license plate positioning system through a cascaded classifier based on haar features provided by OpenCV. But this method is very time-consuming to train, and the efficiency of classification and positioning is also low. Therefore, in the area of target localization, neural network-based methods are the mainstream methods. In neural network-based localization methods, convolutional neural networks are mainly used to learn target features. Because the convolutional neural network has translation invariance, it can be supplemented with candidate regions in the learning process and classify the candidate regions. The candidate region that is correctly classified is the location of the target. There are many implementation models for such methods, such as RCNN, faster RCNN, SSD, and so on. Character segmentation The task of character segmentation is to cut each character in a multi-column or multi-line character image from the entire image into a single character image. Traditional character segmentation algorithms can be summarized into the following two categories: direct segmentation methods, segmentation methods based on image morphology. The direct segmentation method is simple, based on some prior knowledge, such as the distribution of license plate characters, and also assists some basic projection algorithms to achieve segmentation; the morphology-based segmentation method uses edge detection, expansion and corrosion to determine the character image position. Traditional character segmentation algorithms are also sensitive to external disturbances, such as license plate inclination, character fouling, and adhesion. The correct segmentation of the license plate characters is very important for character recognition. Only when the segmentation is correct can the recognition accuracy be guaranteed. With the continuous development of neural network theory, end-to-end picture classification and recognition technology have also made great breakthroughs, so many OCR software gradually get rid of the traditional character segmentation processing, and multi-characters are directly recognized by the recognition network. Character recognition Character recognition is the process of extracting character encoding from a picture containing one or more characters. The typical method of character recognition is the method of picture classification based on machine learning. In the picture classification method, one picture can only output one classification, that is, one picture can only contain one character image. This requires a high accuracy of character segmentation. Another recognition method is the end-to-end character recognition method based on a recurrent neural network. This method inputs the entire license plate image into the network, and the neural network will directly output all characters. The end-to-end method directly removes the character segmentation process and avoids the loss of stability caused by the character segmentation error, but the end-to-end method is also sensitive to other disturbances such as license plate tilt. we briefly discussed some technologies of the three core part of the license plate recognition system above. In the follow-up, we will make a detailed discussion of some mainstream technologies.

by:Shenzhen TGW Technology Co.,LtdWorking principle and application scenario of license plate recognition systemThe license plate recognition system is an application of computer video image recognition technology in vehicle license plate recognition. License plate recognition is widely used in highway vehicle management and electronic toll collection systems. It is also the main means of identifying vehicle identity in combination with DSRC technology.The license plate recognition technology requires that a license plate in motion can be extracted and recognized from a complex background, and vehicle license plate recognition, image pre-processing, feature extraction, license plate character recognition and other technologies should be used to identify vehicle license plate and color information. In parking lot management, license plate recognition technology is also the main method to identify the identity of a vehicle.License plate recognition technology combined with electronic non-parking toll system (ETC) to identify vehicles, allowing vehicles to pass through the crossing without having to stop to realize automatic identification and charging of vehicles. In the management of the parking lot, in order to improve the efficiency of vehicle traffic at the entrance and exit, the license plate recognition aims at vehicles that do not charge parking fees (such as monthly trucks and free internal vehicles), and establish unmanned fast lanes to avoid the need for cards and parking. Change the management mode of access to parking lots.Working principle of license plate recognition parking systemNowadays, with the gradual expansion of urban vehicle crowds, many road junctions or parking lots have adopted intelligent license plate recognition technology, and the most prominent performance is that they are used in parking lots. Now many communities, commercial squares, shopping centers, airports, etc Each major parking lot has been transformed, from the traditional card parking system to the smart license plate recognition parking system. Then, what are the principles and applications of license plate recognition in the parking system? Let ’s take a look together.First, the working principle of license plate recognition in the parking lot system1. Vehicle viewing: Various methods such as buried coil viewing, infrared viewing, radar viewing technology, and barrier gate video viewing can be used to sense the passing of the vehicle and trigger image collection and capture.2. Image collection: Real-time, uninterrupted recording, and collection of passing vehicles through high-definition camera capture host.3. Preprocessing: Noise filtering, auto white balance, auto exposure and gamma correction, edge enhancement, contrast adjustment, etc.4. License plate positioning: Force scanning is performed on the gray images in the future through image preprocessing to determine the license plate area.5. Character cutting: After locating the license plate area in the image, through graying barriers, binarization, etc., the bit character area is accurately determined, and then character cutting is performed according to the character scale characteristics.6. Character recognition: Scaling and feature extraction of the cut characters, matching with the standard character expression form in the character database template.7. Effect output: Output the effect of license plate recognition in text format.Detailed working principle of license plate recognition parking systemTwo, four major applications of license plate recognition1, Parking lot and community entranceThe application of parking plate and community entrance and exit license plate recognition technology is mainly used to record the vehicle license plate number, license plate color, and time of entry and exit, and to complete the automatic processing of the vehicle in order to save manpower and forward power; for example, it can be used to distinguish between entering vehicles in smart communities. Is it due to the community, the automatic timing of toll gates for the completion of non-internal vehicles? In some units, this application can also be linked with the vehicle dispatching system to automatically and objectively record the vehicle out of the unit.It is very difficult to manually record the license plate number and parking time of the traveling vehicle by the parking lot and the entrance and exit of the community. Not only errors will occur, but also a lot of manpower needs to be invested. A small license plate recognition device can handle many questions at the entrance and exit of the parking lot. The license plate is blocked, the paint is cracked, and the blur can be analyzed and identified, which saves a lot of trouble for the staff at the parking lot and the entrance.2, Expressway Toll StationNowadays, China's highways are being built for thousands of miles, and the highways are unobstructed. Each exit is provided with a toll station, which facilitates toll collection on the one hand and helps traffic police to standardize the traffic on the highway. The application of the license plate recognition technology at the entrances and exits of highway toll stations can greatly facilitate traffic police to identify the license plate information of illegally trekking vehicles and to effectively handle and arrest some illegal vehicles.卡 The toll gate is generally located in an open-air environment, coupled with some vehicles traveling fast, so the requirements for license plate recognition technology are very high. Traditional license plate recognition is about 160P pixel license plate recognition. Useful image planning is small, the license plate miss rate is high, and it cannot meet the needs of the toll station bayonet. Now the application of high-definition license plate recognition has dealt with the question of the low license plate recognition rate, thus providing a reliable basis for the law of public security and traffic police.The license plate recognition system is installed at the entrance and exit of the toll booth. When a vehicle enters, the system recognizes the license plate of the vehicle and sends the recognized license plate information to the designated base processing server. By comparing it with the theft of the suspected vehicle in the database, It can be judged whether the road gate vehicles entering or exiting the toll gate of the expressway are stealing suspicious vehicles, which can greatly avoid the occurrence of illegal and illegal incidents and see the information about the work supply that has occurred.3. Application in highway bayonetWith the increase in the number of roads created by our country and the overall improvement of people's living standards, the number of people who buy cars now continues to increase, posing various illegal questions to the highway. As a necessary basis for illegal vehicle punishment, the license plate recognition technology can automatically check and identify the vehicle number plate in the video. The most typical one is the security checkpoint system. This system assumes that without the license plate recognition technology, there is no real intelligence Into.完善 A complete security bayonet processing system should have three primary functions of automatic license plate recognition, bayonet application system and base processing channel. The license plate recognition is the most important part in the meantime. The quality of the license plate recognition directly affects the overall function of the bayonet system, and the recognition speed is its most important technical indicator. The recognition speed is fast, the system requirements occupy fewer system resources, the possibility of manual intervention is small, and the work burden of the system network is correspondingly reduced. The recognition of the license plate is fast and accurate. The license plate recognition system is intelligent and useful to complete the automatic comparison alarm to avoid many false alarms. It can provide powerful and reliable crack detection information for anti-theft vehicles, deck vehicles illegally grabbed vehicles and other illegal crime detection.Detailed working principle of license plate recognition parking system4. Application in urban transportationIn recent years, with the rapid development of society and the economy, the rapid increase in the number of motor vehicle barriers, road transportation has become more and busier. The hostility of traffic handling status and needs has further intensified, and criminal and public security cases related to traffic have also increased year by year. Under this circumstance, how to use preemptive technology to strengthen the police's investigation and control of motor vehicles and drivers in the city, and to provide technology for impacting various illegal and illegal acts is a question that the police's traffic processing department needs to deal with urgently.Nowadays, the license plate recognition parking lot system is currently considered to be a set of parking lot management systems that are more convenient to manage and vehicles pass quickly. Because of its advantages such as high recognition rate and fast traffic, it has been favored by many users. However, in order to better manage the parking lot and the problem of parking difficulties, the parking lot system is constantly upgraded and the functions are constantly increasing. Of course, the license plate recognition technology must not fall behind. The license plate recognition system will definitely bring a lot of convenience to the management of the parking lot system.We are a License plate recognition company which specialize in ALPR system,(License plate recognition),we offer ALPR solution all around the world.Click the links bellow to learn more about our products!ALPR software,ALPR camera ,ALPR hardware,license plate recognition system,LPR cameraYou can also learn more about ALPR at Wikipedia

by:Shenzhen TGW Technology Co.,LtdNowadays, with the improvement of people ’s quality of life, many people begin to enjoy life. Every holiday area is crowded with people. People usually choose to travel by car or group tours, but in the crowded scenic area, people who come by car It is not easy to find a parking place. To solve the problems of parking in the scenic area and queuing of vehicles, most parking lots in the scenic area have introduced a license plate recognition system to solve the problem of parking in the scenic area. The new method of vehicle identity authentication The intelligent license plate recognition management system relies on the license plate recognition technology to accurately recognize the license plate information of vehicles entering and exiting the scenic area parking lot. It can record the time of vehicle entry and exit and automatically charge. Users pay a mobile payment. The license plate recognition system can not only increase the speed of vehicle recognition, but also improve the efficiency of parking payment, and help to relieve the pressure of parking lots during holidays. This system can ensure the unimpeded import and export even when there is a large traffic volume, effectively solve the problem of reducing the vehicle queues, and self-driving travelers can travel with confidence. Realize unmanned management of scenic parking lot With the advent of the era of intelligent identification, intelligent identification technology will gradually replace manual identification. From military to civilian, and from enterprises to individuals, the coverage of intelligent identification systems will become larger and larger. In response to the congestion of parking lot entrances and exits, an intelligent license plate recognition system will help the construction of "unmanned parking lots" in the scenic spot, replacing traditional manual identification and payment, and greatly liberating manpower and material resources of the parking lot and speeding up work efficiency.We are a License plate recognition company which specialize in ALPR system,(License plate recognition),we offer ALPR solution all around the world.Click the links bellow to learn more about our products!ALPR software,ALPR camera ,ALPR hardware,license plate recognition system,LPR cameraYou can also learn more about ALPR at Wikipedia