TGW is professinal on design and solution for parking management system
automated license plate recognition is exquisitely made by the professionals from Shenzhen Tiger Wong Technology Co.,Ltd. Our inspectors carefully select the raw materials and conduct several times of tests to guarantee the perfect performance from the source. We have innovative designers devoted themselves to the design process, making the product be attractive in its look. We also have a group of technicians who are responsible for eliminating the defects of the product. The product made by our employees is completely advantageous for its unique design style and quality assurance.
Our products have made Tigerwong Parking to be the pioneer in the industry. By following up the market trends and analyzing the customer feedback, we constantly improve the quality of our products and update the functions. And our products are becoming more and more popular for its enhanced performance. It directly results in the growing sales of the products and helps us to win a broader recognition.
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As 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
Automatic number plate recognition (ANPR) is a group supervision method that uses optical character detection on images to examine the license plates on a vehicle. Licence plate recognition can be used to store the images that have been captured by the camera and the text of the number plate. Some of the systems can even store the photographic image of the driver of the vehicle.
This technology is used in safety and traffic application worldwide. License plate recognition technology and ANPR has gained popularity in security and traffic applications as it is based on the fact that all vehicles have a license plate and there is no need to install any additional tracking apparatus. The main advantage is that the system stores the image record for future references.
The system uses lighting (such as Infra-red) and a camera to take the image of the front or rear of the vehicle which is then analyzed by image-processing software, which extracts the image and the plate information. This data is then used for enforcement or record collection and maintenance. License plate recognition system or Automatic number plate recognition systems have the following components: 1.
License plate capture camera - which captures the images 2. Lighting mostly infra-red, which the driver cannot recognize 3. Framework that is a connection between the image capturing unit and the computer and the software 4.
A computer or PC which runs the system 5. The software that is used by the system. 6.
The proceedings are recorded on a database which includes the images of the license plate and the driver face if that option is present in the system. 7. The system also uses other hardware including an automatic license plate reader.
Car Detector has two different models or variations: 1. Fixed Camera LPR systems: CarDetector records and informs the concerned authorities regarding any unauthorized vehicles that travel through the chosen security zone, even if the vehicle is moving. The system records the time of detection, the plate number and image and the entire car image if required.
2. Mobile LPR Systems (CDMS): This is designed for mobile law enforcement vehicles. The system automatically detects the vehicle and extracts the plate image, which is then analyzed and matched with the existing database.
This helps the police in detecting stolen or suspect vehicles.
With the precipitation of time and the progress of science and technology, the problem of difficult parking has been alleviated to a certain extent in the society, which shows that enterprises in the parking industry have indeed made a lot of efforts on this issue. License plate recognition has been applied in the market, has been loved and affirmed by people, and will gradually develop an innovative intelligent parking management system. Why is the license plate recognition system recognized and sought after in the market? Compared with the traditional card / ticket collection parking lot system, the license plate recognition system has more excellent advantages such as sensitive and fast unblocked ability, convenient installation, intelligence, easy maintenance and management. Nowadays, license plate recognition system is one of the important components of intelligent transportation. It is widely used in real situations. The process of license plate recognition can be divided into four steps: license plate location, license plate preprocessing, character segmentation and character recognition. The license plate recognition system adopts advanced fuzzy image processing technology, which can well deal with the overall tilt, text tilt, stain and blur of the license plate, and recognize the license plate number that is difficult to distinguish by human eyes. It makes up for some loopholes in manual management, and makes the owner parking more assured and safe. Now is the era of intelligence. We should know how to use modern equipment products for management. We should know how to manage from science and technology. Using intelligent equipment to manage the parking lot can not only improve the traffic efficiency of vehicles, but also ensure the safety of each vehicle. With the progress of science and technology, parking lot management tends to be unmanned gradually, allowing more intelligent devices to guide and manage vehicle parking, so as to realize the new intelligent parking management system mode. If you want to know more wonderful industry news and parking plans, follow tiger Wong and give you wonderful information at any time!
With the deepening of people's awareness of security, more and more people have more requirements for parking lots, and the current situation of intelligent management of parking lots will become the development trend in the future. With the development of science and technology, there are fewer and fewer managers in parking lots, the degree of automation is higher and higher, and unmanned services will be gradually popularized. Therefore, Intelligent parking lot license plate recognition system will be a major theme of parking lot in the future. With the increase of the number of cars all over the world, people pay more and more attention to the urban traffic situation. How to effectively carry out traffic management has increasingly become the focus of the relevant departments of governments.
To solve this problem, people have successively developed various traffic road monitoring and management systems, vehicle control systems and public transport systems by running advanced information processing technology, navigation and positioning technology, wireless communication technology, automatic control technology, image processing, vehicle license plate recognition technology and computer network technology. License plate recognition technology can not only strengthen the connection between roads, vehicles, drivers and managers, realize the automation of road traffic management and the intellectualization of vehicle driving, enhance traffic safety, reduce traffic congestion, improve transportation efficiency, reduce environmental pollution, save energy and improve economic vitality; Moreover, the application in the management of parking lot is also a major advantage to alleviate the difficulty of parking. As the problem of difficult parking and arbitrary charging has become the biggest headache for people, in order to solve this problem, parking lot management will gradually move towards intelligence. The intelligent management of the parking lot is mainly reflected in the intelligent car parking management system installed in the parking lot. The car parking management system consists of entrance and exit management, parking space guidance, reverse car search, automatic license plate recognition, self-service payment and many other subsystems.
At the same time, the central charging mode and remote identification technology are used to realize the function of intelligent management. Compared with the previous traditional parking lot system, adding the parking lot management license plate recognition system not only solves the problems of rapid access to the parking lot and parking payment, but also solves the problems of finding parking spaces in the parking lot and returning to the parking lot. In some large parking lots, we can see that the whole process from parking to payment can be completed in just a few minutes, instead of wasting most of their time on parking as before. The development trend of intelligent car parking system will gradually move towards intelligence and unmanned. The traditional parking lot management can no longer meet people's needs.
Parking lots in many places have begun to be transformed and upgraded to license plate recognition system. At the same time, parking space guidance, reverse vehicle search and self-service payment system are installed in the parking lot, so that vehicles entering and leaving the parking lot can quickly find parking spaces through the parking space guidance system and return to the parking lot, Due to the large number of vehicles in the field, the owner can't find the parking position of his favorite car at one time. Through the reverse car search system, the owner can find the storage position of the vehicle in only a few minutes. Similarly, the payment methods are more diversified than before. Combined with the current mainstream mobile payment means - wechat payment, people can choose to pay at the exit of the parking lot through the tips of the parking lot charging system and the independent payment machine in the parking lot.
They can also pay quickly by scanning the QR code with their mobile phone, so that there will be no arbitrary charging, License plate recognition can also save the time for car owners to queue up for payment. With the advent of economic globalization and the information age in the 21st century, computer technology, communication technology and computer network technology have developed rapidly, and the dynamic information processing ability and level have been continuously improved, and have been widely used in various fields of people's social activities and life. The high-speed and efficient pace of life has made the popularization of automobiles an inevitable trend, The parking problem will also be a major focus, and the development of intelligent parking lot license plate recognition system will also be a necessary research topic to solve the parking problem in the future. Tigerwong parking equipment supplier has focused on parking equipment for many years! If you have any questions about the parking system, welcome to consult and communicate.
License plate recognition system vehicle license plate in the image is an approximate rectangle or near berm parallelogram. Although the real vehicle license plate is a rectangle, the vehicle license plate in the image is an approximate rectangle or parallelogram due to the change of the height difference between the CCD camera and the captured vehicle license plate and the different camera angle. 02 the size of the license plate is relatively stable in the image. In practical application, if the images taken are the front image of the vehicle, the reduction ratio is relatively consistent because the front license plate of the vehicle generally has the same real size, and the distance between the CCD camera and the vehicle is relatively fixed. The size of the license plate in the captured image is also relatively stable. 03 car license plate tilts to a certain extent in the image, but the tilt angle is within a certain range. Due to the slight inclination of the real license plate on the vehicle and the shooting angle, the license plate may be inclined to a certain extent in the image. In practical application, as long as the angle and levelness of the camera are properly adjusted. The tilt angle can be controlled as small as possible. 04 the characters in the front license plate of the automobile have a uniform size and are arranged horizontally in rows. In the front license plate of the general license plate recognition system, 7 characters are arranged horizontally. The character set contains about 50 Chinese characters, 25 capital English letters and 10 Arabic numerals. The color of the license plate is divided into white characters on a black background, white characters on a prison background, black characters on a yellow background, red characters on a white background and other different specifications.
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