基于OpenHarmony的摄像机车牌识别技术研究OA

Against the backdrop of the rapid development of intelligent transportation,to address the problems of high cross-platform deployment costs and low recognition accuracy in complex environments for traditional license plate recognition,a license plate recognition solution with the coordination of system,hardware and algorithm is constructed based on OpenHarmony.This solution develops a camera system scheduling module,adopts the Retinex theory to optimize light compensation,uses CycleGAN to generate rain and fog samples,and combines channel pruning and quantization technologies to realize the lightweighting of the algorithm.The results show that the video stream cross-device scheduling delay is≤127 ms,the recognition rate under low illumination reaches 92.3%,the rain and fog positioning success rate stands at 88.7%,the high-speed vehicle capture rate hits 99.6%,the algorithm volume is compressed by 73.3%,and the inference time is≤37 ms,with all indicators meeting the design objectives.This research provides a low-cost and high-robustness technical path for the edge deployment of intelligent transportation.