Shulou(Shulou.com)06/03 Report--

Recently, artificial intelligence and machine vision occupy a hot topic in the society. As a branch of machine vision, license plate recognition involves a series of processes such as "image acquisition-image preprocessing-license plate location-character segmentation-character recognition-result output". The application of artificial intelligence improves the accuracy of license plate recognition. At present, the common application of artificial intelligence landing is license plate recognition in addition to all kinds of biometric recognition.

Rapid growth of license plate recognition market

License plate recognition uses dynamic video or static image to automatically recognize license plate number and color, and its core algorithms include license plate location algorithm, license plate character segmentation algorithm and optical character recognition algorithm. the complete license plate recognition system includes image acquisition, vehicle detection, license plate recognition and so on.

With the rapid growth of urban population, the rapid increase in the number of people's vehicles, coupled with the implementation of government regulations, the license plate recognition market is growing strongly. It is reported that in the Asia-Pacific region, the license plate recognition system will grow at a compound annual growth rate of 18.06% to cope with the current fast-growing demand for traffic congestion, police law enforcement, fees and parking lots.

License plate recognition technology is widely used.

At present, license plate recognition technology has been used in many fields, such as traffic roads, highway toll stations and parking lots.

With the improvement of car ownership in China, Volkswagen pays more and more attention to traffic safety. On the highway, many intersections have set up detection systems to detect illegal activities such as running red lights, and the main component of this system is the license plate recognition module. Through the license plate recognition technology, the system can capture passing vehicles, screen out illegal vehicles, and provide a basis for traffic police law enforcement.

At the highway toll station, when there is a vehicle entering, the license plate recognition system can identify the vehicle license plate and send the license plate information to the central management server, which can not only deduct the money, but also compare with the database to judge whether the detected vehicle is a suspicious vehicle or not, which ensures the social and public safety.

In the entrance and exit of parking lot and residential area, license plate recognition is mainly used to record vehicle license plate number and entry and exit time, to help property or parking lot managers to achieve automatic vehicle management, which can save manpower and improve efficiency.

What is the development potential of license plate recognition technology?

In the intelligent parking lot, the parking space guidance and reverse car search technology is becoming more and more mature, although ultrasonic detection technology is widely used at present, the large-scale application of license plate recognition will still be a major trend. Through the license plate recognition technology, the intelligent parking video detection terminal can automatically identify the license plate number when the vehicle is detected, and transmit the occupied state of the parking space to the parking guide screen, thus issuing instructions to the car owner. At the same time, the license plate number and parking space image are uploaded to the server for reverse car search.

In addition, license plate recognition can also be combined with cloud technology to promote data integration in cloud parking lots. Through the cloud platform, the license plate recognition system can allocate the image processing calculation to the image processing calculation with the same amount of computation, which greatly saves the recognition time.

Through the cloud platform, the license plate recognition system can allocate the image processing calculation to the image processing calculation while the amount of computation is constant, which greatly saves the recognition time.

Conclusion: after years of development, license plate recognition technology has become a more mature technology. With the continuous construction and improvement of urban intelligent transportation system, license plate recognition will become high-definition, integrated and intelligent, and play an important role in more systems.

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