License Plate Recognition Case in Harsh Environment

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The recognition rate of license plate recognition is closely related to the core strengths of the technology and background of the Beijing Epoch era and the license plate recognition algorithm. For example, under different scenarios with multiple environments and multiple poses, the influence factors of imaging effect and recognition rate are different:
(1) The weather visibility of rain, fog, and snowfall is low, and the license plate image quality obtained will be severely attenuated. Therefore, the core algorithm of the license plate recognition system must be optimized to ensure the imaging and recognition rate.

(2) Under the effect of vehicle headlights at night, the image of the license plate may become a cluster of black and white, but the algorithm will be used to intelligently optimize the nighttime image, and double wide dynamics will be used to identify the license plate. The camera can capture more details of bright and dark parts on the same picture, closer to what the human eye sees;

(3) For the phenomenon of direct and reverse light, it is possible to adjust the exposure parameters and image adjustments of the Acer camera license plate by using intelligent image light processing techniques such as exposure masking and background light optimization to achieve high-quality imaging and recognition rate;

(4) The large angles formed by the vehicle's driving are particularly evident in the entrances and exits of corners and wider parking lots. The first step is to reduce the arc of large angles by controlling the installation height and angle of the Junghong license plate recognition cameras. However, this problem cannot be completely solved, but the function of processing the malformed characters, etc., is also increased by adopting the Acer license plate recognition algorithm to present a better recognition rate effect.

(5) The license plate distortion is serious. For some reason, the license plate shape may be deformed. Therefore, the license plate recognition is optimized by the underlying algorithm. Guaranteed deformation of the license plate recognition effect.

Shenzhen Jinhong Technology Co., Ltd. is an excellent intelligent parking solution provider in China, and is committed to the development of core software such as license plate recognition, vehicle identification, vehicle feature recognition, and parking space detection. In accordance with the specific scene requirements identified by the license plate of the parking lot, Chonghong Technology developed and launched a high-performance license plate recognition machine (the license plate recognition rate is as high as 99.7%). At present, the company's smart parking fee collection system developed based on the Xunhong license plate recognition integrated machine can meet the needs of different car parks. It has been widely used by thousands of users such as Tsinghua University, China Banking Regulatory Commission, and Shangri-La Hotel.

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