Detect and remove defects such as black spots, color differences, impurities, threads, rings, notches, residues, burrs, bubbles, flashes, deformations, uneven thickness, and dimensions on the bottle body online.
Inspection Theory
The product is stably and orderly transmitted to a specific workstation through a material handling (feeding) device, and the high pixel sample images captured are transmitted to image processing software through customized LED light sources and HID industrial cameras. Based on big data, AI algorithms are analyzed and compared, and the system automatically determines defective and good products. The corresponding pneumatic components are controlled to eliminate defective products online, and the good products are counted and boxed to complete product inspection.
The software will open up sample comparison standards, and production personnel at the customer's site can control the comparison accuracy, select the most suitable accuracy standard for their own production situation, and thus control the defect rate.