Plastic cap visual defect inspection machine is equipped with an intelligent processing platform. When the products to be tested enter the inspection area, the industrial camera can capture multiple photos in about 0.1 seconds. Through AI algorithms, it compares against the sample database, simulating human thought processes to conduct quality inspections on cap appearances. Issues such as black spot, material deficiency, and deformation of bottles are quickly recognized and eliminated, this appearance defect inspection system greatly improve the production efficiency and ensuring product qualification rate.
Plastic cap visual defect inspection machine is used for detect suction nozzle cover, it utilizes high-definition imaging technology to analyze object images and obtain various parameters for real-time comparison and detection with standard products. Under the AI deep learning algorithm, the system removes unqualified products through high-speed, the air valves and automatically counts and divides qualified products into boxes, this appearance defect inspection system greatly improve the production efficiency and ensuring product qualification rate.