Tigerwong Technology License Plate Recognition Upgrade Parking System - Tigerwong Technology

With the improvement of people's living standards in China, people's car ownership is growing rapidly, and the requirements for traffic control, safety management and charge management are also gradually improving. How to use technical means to achieve safe and efficient intelligent transportation has become a hot topic in traffic management. As a computer vision and pattern recognition technology, parking lot license plate recognition system has been widely used in intelligent parking industry. Tigerwong technology parking lot license plate recognition system overview in fact, the parking lot license plate recognition system is based on the image processing algorithm to analyze and sort out the vehicle pictures captured by the front-end license plate camera, and then extract the license plate number (English and Chinese characters and numbers), license plate color, and even vehicle model, vehicle color and other information data. Principle of parking lot license plate recognition system tigerwong technology the license plate recognition technology used by the parking lot license plate recognition system is the automatic recognition technology of license plate number and license plate color by using the dynamic video or static image of the vehicle.

The core of recognition technology includes license plate number location algorithm, license plate character segmentation algorithm and optical character recognition algorithm. A complete parking lot license plate recognition system shall include vehicle detection, image acquisition, license plate recognition, etc. When the vehicle detection section detects the arrival of the vehicle, it triggers the image acquisition unit to collect the video image of the current vehicle. Then the license plate recognition unit will process the image, locate the license plate position, segment the characters in the license plate, automatically analyze and recognize, and finally form the license plate number output data. The parking lot license plate recognition system usually completes the recognition output through the following steps: vehicle detection: different methods such as buried coil ground sensing detection, infrared detection, radar detection technology and video detection can be used to obtain the passing information of vehicles and trigger the license plate recognition camera to capture. Image acquisition: real time and uninterrupted recording and acquisition of passing vehicles through HD camera capture host.

Pretreatment: noise filtering, automatic white balance, automatic exposure, edge enhancement, contrast adjustment, etc. License plate location: first, after image preprocessing, and then row and column scanning on the gray image to determine the license plate area. Character segmentation: after locating the license plate area in the image data, accurately locate the character area through graying and binarization, and then segment the data according to the characteristics of character size. Character recognition: analyze, zoom and extract the segmented characters, and match and distinguish them with the standard character expression in the character database template. Result output: the result of license plate recognition is generally output in text format. Tigerwong technology parking lot license plate recognition system is mainly composed of three modules: trigger mechanism, picture capture and picture recognition.

In order to obtain high-quality original pictures, event triggering and license plate capture need to cooperate tacitly. The final recognition effect will be based on the performance of the involved hardware equipment (camera, lens, image processing chip, capture control mechanism, trigger, lighting and control equipment performance, etc.), the advantages and disadvantages of image recognition algorithm, parking lot architecture and installation, etc. these three parts complement each other, They all affect the final recognition rate and use effect of the system. The popularity of intelligent transportation is gradually increasing. Fast, timely and accurate license plate recognition undoubtedly provides wings for transportation. In the license plate recognition system, software and hardware complement each other, realizing rapid recognition and greatly improving accuracy.

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