Abstract: In the production process of the medicine box, the multi-belt conveyor belt is often used for the delivery of the medicine box, and the congested condition of the medicine box is often occur caused by friction and the other reasons during the process of transportation. Therefore, in order to achieve real-time detection of medicine box congestion, this paper carries out the research and design of the congestion detection system on the conveyor belt based on machine vision technology. Through the collection and analysis of features for industrial production images, the cartridge positioning strategy based on edge detection technology and the vacancy recognition strategy based on gray-scale inversion are designed. And then, the vacancy detection of the kit and the conveyor belt under dynamic background is completed. Finally, this paper designs box congestion detection strategy and congestion balancing strategy, plans the kit deployment route, and solves the conveyor congestion problem.

Key words: machine vision, target detection, congestion detection, congestion equilibrium