Vehicle license plate recognition system based on machine vision technology

Vehicle license plate recognition based on machine vision technology, the whole process is divided into five major modules: preprocessing, edge extraction, license plate location, character segmentation and character recognition. Software programming is used to implement each part, and finally the license plate is identified. It is mainly used in urban traffic management, highway toll management, and highway over-limit treatment.

In the traditional high-definition system, the system sends the picture taken by the camera to the processing system such as the industrial computer for identification processing and storage, so that the requirements for the transmission and processing equipment are very high, and it is difficult to meet the design and processing capability requirements of the system.

The new machine vision intelligent HD camera embedded processing solution can effectively solve the above problems. Each lane is equipped with a 2 megapixel HD smart camera with a resolution of up to 1600×1200 pixels. It is responsible for the facial feature capture of the front passengers, the automatic identification of the license plate and the automatic recognition of the body color, and the processing results are passed through the ether. The network is sent to the intelligent HD camera terminal server.

The terminal server adopts the embedded linux special system, which is responsible for receiving, storing and uploading vehicle traffic information. At the same time, the user can view and manage all front-end devices through the terminal server. Each intelligent high-definition camera terminal server can simultaneously connect up to 20 intelligent high-definition cameras. Greatly improve system processing performance.

The intelligent high-definition camera integrates industrial-grade progressive scan CCD and high-speed DSP chip, and independently completes the functions of image capture, license plate recognition, body color recognition, and vehicle speed acquisition. After the vehicle information is acquired, the result assembly and communication module are packaged and uploaded via Ethernet. The terminal server enhances the processing power of the system, making the system structure clear and concise, and easy to expand.

The entire imaging system is a sophisticated system of intelligent high-definition cameras, intelligent fill light and imaging control software. The orderly coordination and feedback control between them makes the image of the vehicle captured during day and night high, ensuring the body, license plate and The facial features of the front passengers of the vehicle are clearly distinguishable.

At the same time, the system integrates the reflection characteristics of the front windshield of the vehicle, the filming condition, and the ambient light irradiation. It adopts a special lens, a special imaging control strategy and a fill light method, and arranges a reasonable equipment layout method. The system can effectively solve the problems of front windshield reflection and direct light for all kinds of vehicles around the clock, ensuring that the facial features of the body, license plate and vehicle front passengers are clearly distinguishable. Moreover, it can automatically identify the color of the car body and the 10 common body colors, providing a new technology for public security inspection and criminal investigation.

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Video triggering is used as an auxiliary trigger, and video-assisted triggering and auxiliary speed measurement can achieve uninterrupted monitoring and timely response. The front-end and back-end independent proprietary network structures greatly improve network security. The application of vehicle license plate recognition system based on machine vision technology has become an urgent need for intelligent traffic management, which will provide strong technical support for the development of the industry.