Design of Robot Motion Grasping System Based on Machine Vision

This paper proposes a vision-based control strategy for performing high-speed sorting tasks in automated product lines, and develops the associated control software. Utilize a Cartesian robot to control suction cups to grab unordered objects from one moving conveyor and place them in sequence on another conveyor. A CCD camera takes an image every fixed period. After the contour extraction algorithm and the image deduplication algorithm are processed, the shape and position of the object are obtained. The target positioning and tracking method based on 'minimum external contour + image deduplication + conveyor belt dynamic speed detection’ is adopted to complete high-speed handling operations in real time. Experiments on the Cartesian coordinate robot sorting system verify the effectiveness of the proposed vision control strategy.