Abstract: Due to the limited computing power of edge devices, it is easy to cause frame accumulation when processing high-resolution, high-frame-rate video. In addition, the diversity of video parameters also affect video processing, system parameters need to be adjusted adaptively to ensure video processing performance. Aiming at the problem of frame accumulation in video processing, this paper proposes a method of adding a frame buffer queue between frame receiving and frame processing to process the buffered frames in parallel, so as to solve the problem of frame receiving delay and speed up video processing. The experimental results show that the frame buffer queue solves the problem of frame loss in the edge video processing system. It reduces system power consumption and improves the edge processing capability of real-time video data, while satisfying real-time frame processing.

Key words: edge computing, video processing, frame buffer queue, adaptive, face detection