The invention discloses a method for site remaining intelligent video recognition of electric power operation tools and instruments. The method comprises the steps of collecting video images through a front-end camera; decompressing the video images collected, and decomposing the video images into YUV pictures; converting the YUV pictures into RGB pictures; decomposing the pictures frame by frame, randomly extracting multiple frames to make an analysis comparison; comparing a next picture frame with a last picture frame, updating the background environment in real time by utilizing self learning, and extracting target objects from the background environment so as to judge whether the tools and the instruments remain on the operation site. According to the method, the remaining conditions of the electric power operation tools and instruments can be recognized conveniently and timely, an alarm can be made actively against the conditions that the tools and the instruments remain on the electric power operation site due to negligence of workers, work of the workers is standardized, and the potential safety hazard is eliminated.