Research on OpenCV-based method for monitoring the amount of intestinal coating accumulation

In order to solve the problem that the enteric coating production line cannot monitor the real-time accumulation amount of enteric coating in multiple water tanks, which leads to the decrease of workers' work efficiency, this paper designs a system that can dynamically monitor the accumulation amount of enteric coating in real time by differentiating the color of enteric coating in water tanks through OpenCV. The acquired images are cropped, pre-processed, and color space converted using OpenCV. The area of intestinal coating present within the image is locked by a mask, and thus the amount of buildup is obtained in real time. In order to verify the stability of the system in each time period, three 30-minute experiments were conducted in three time periods, morning, midday, and evening, and cameras were placed in the production line to count the amount of pile-ups monitored by the system in each time period. At the same time, the human eye was monitored as a comparison of the accuracy of the experiment. When the pile-up volume accounted for 30%-70% of the water tank, it was determined to be in the appropriate range, otherwise it was unsuitable. The matching rate of the two monitoring methods found to be consistent was counted. The results showed that the matching rate was close. After experiments to verify the identification method can monitor the amount of accumulation, to reduce the workload of workers to a certain extent. The accuracy rate is similar to manual monitoring and can be used as the monitoring of the amount of sausage casing pile up in production lines.