Abstract: In recent years,with the rapid development of intelligent video surveillance,the processing video data generated by various video capture devices has become an important task in the public security industry.At present,most video data processing adopts the back-end server mode,which has a high requirement for bandwidth of video transmission and has problems such as insufficient back-end server resources.For this reason,this paper proposes to use the embedded multi-core acceleration board instead of the server to complete part of the task,and various image processing algorithms that consume server resources are stripped from the backend server,and they are put into the front-end embedded acceleration board to calculate,to a certain extent,it can save server resources and improve server efficiency.Finally,the scheme is tested in this paper.The target multi-core acceleration board is used to detect the target with a resolution of at least 2million pixels.The test result shows that the average processing power of each image is not less than 200ms,and it can process more than 1.3million pictures within 24hours.It can be seen that it is feasible to use a multi-core embedded board instead of a server to complete the image processing solution.

Key words: Acceleration board, Embedded multi-core, Image processing, Target detection, Video monitor