The invention discloses a video data edge calculation method based on an artificial intelligence algorithm. The method comprises the following specific steps of S1, collecting a driving video stream through employing a camera, and collecting the distance between a pedestrian and a vehicle and a vehicle where a user is located through employing a laser distance measurement sensor; and S2, the development board adopting a YOLO algorithm to process the collected data, and a target object being marked; the data detected by the laser ranging sensor and collected by the camera in the step S1 and the result after data processing in the step S2 are fed back to the display screen and the alarm device for processing. According to the method, objects such as vehicles, pedestrians, bicycles and the like can be detected in real time in the running process of the automobile, an approximate distance can be calculated, a sound alarm can be given at a short distance so as to assist driving, real-time monitoring can be realized through edge calculation, prompt of the text information can be given, a distance can be calculated, an alarm can be given and the like, and data does not need to be uploaded to a server. and therefore, the required real-time performance can be ensured.
本发明公开了一种基于人工智能算法的视频数据边缘计算方法,具体步骤如下:S1:采用摄像头采集行车视频流,利用激光测距传感器采集行人、车辆与使用者所在车辆之间的距离;S2:开发板采用YOLO算法对采集到的数据进行处理,将目标物体标注出来;将S1中摄像头采集激光测距传感器检测到的数据以及经S2数据处理后的结果反馈至显示屏和报警装置进行处理。本发明能在汽车行驶中进行车辆、行人、自行车等物体的实时检测,计算出大致的距离,并在近距离时给出声音报警,以辅助驾驶,通过边缘计算实现实时监测、并给出文字信息的提示、计算距离并给出报警等一系列操作,无需将数据上传服务器,以保障所需的实时性。
Video data edge calculation method based on artificial intelligence algorithm
一种基于人工智能算法的视频数据边缘计算方法
2021-07-30
Patent
Electronic Resource
Chinese
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