Moving object detection and distance calculation based on Opencv

Image processing is one of the most popular technology these days and is widely used in industrial robots and other fields. In the process of working with industrial robots, it is often necessary to locate the target through image processing technology and then process it later. In the process of object positioning, operators not only need its position in the image, but also the distance from the lens, and even the direction in which it moves. Compared to other object positioning methods this paper provides an object identification method that can find objects in the picture that are different from the background color precisely and calculate the distance from the camera and the direction of movement of the object. The method used black rectangle geometry on a white background as probe objects, and mainly used python based Opencv's algorithm for image processing. The experiment finally confirmed that the location, distance, and direction of motion of the target geometry can be well determined by this method.