The invention relates to the technical field of artificial intelligence, and provides a video image recognition method based on artificial intelligence. The method comprises the steps of carrying outthe dynamic collection of the forward view angle of a vehicle in a vehicle driving process, and obtaining a plurality of collection data; performing video encoding and video decoding on the pluralityof acquired data to obtain a video image; determining a frame extraction frequency according to the front-end computing power of an embedded central processing unit CPU of the vehicle-mounted equipment; performing frame extraction on the video image according to the frame extraction frequency to obtain a plurality of video frames; sequentially identifying the plurality of video frames to obtain avehicle identification result of the vehicle and a marked line identification result of a traffic marked line passed by the vehicle; according to the vehicle identification result and the marked lineidentification result, analyzing the spatial position relationship between the vehicle and the traffic marked line to obtain a vehicle violation identification result; and uploading the vehicle violation identification result to a block chain. The method can be applied to a smart traffic scene, thereby promoting the construction of a smart city.
本申请涉及人工智能技术领域,提供一种基于人工智能的视频图像识别方法,包括:在车辆行驶的过程中,对车辆的前行视角进行动态采集,获得多个采集数据;对多个采集数据进行视频编码以及视频解码,获得视频图像;根据车载设备的嵌入式中央处理器CPU的前端算力,确定抽帧频率;根据抽帧频率,对视频图像进行抽帧,获得多个视频帧;依次对多个视频帧进行识别,获得车辆的车辆识别结果以及车辆途经的交通标线的标线识别结果;根据车辆识别结果以及标线识别结果,对车辆以及交通标线的空间位置关系进行分析,获得车辆违法识别结果;将车辆违法识别结果上传至区块链。本申请可应用于智慧交通场景中,从而推动智慧城市的建设。
Video image recognition method based on artificial intelligence and related equipment
基于人工智能的视频图像识别方法及相关设备
2020-09-04
Patent
Electronic Resource
Chinese
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