1. Machine vision CCD uses machines instead of human eyes to make measurements and judgments. Machine vision systems refer to the use of machine vision products to convert the captured target into image signals and send them to a dedicated image processing system. According to the pixel distribution and brightness, color And other information into digital signals; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the field equipment movement to remove defective products and positioning measurements based on the discrimination results. The entire system has a database of qualified products and The good product database will compare all the products captured by the CCD lens, and separate the qualified products and the unqualified products.

 

2. Machine vision for blood glucose test strips to detect bad products in the production process (electrode defects, continuity, scratches, siphon groove shift, whether the enzyme is complete, whether the cutting is accurate, whether the company's trademark is clear, etc. up to 15 detection functions) For urine test strip product detection (whether the filter paper is offset, whether the color of the filter paper is normal, etc.), it can detect the product without human participation for 24 hours. Through the network link, it can be input to the ERP software to check the real-time production capacity and output to the quality assurance department Implementation of real-time monitoring of product quality at the production site, and inspection of each batch of past inspection data and all photos taken by the CCD. It is a very ideal auxiliary equipment for production enterprises.