Detection principle
The caps defective product detection equipment is connected to the front-end automation mechanism (which can be directly connected to the conveyor line, waterfall capping machine, centrifugal turntable, etc., and the specific implementation method is to be determined according to the production site), and the caps can be stabilized. It is sequentially transmitted to a specific inspection station, and then the high-pixel sample image captured by the industrial camera is transmitted to the image processing software. The AI artificial intelligence algorithm detects and determines the good and bad products, and controls the corresponding pneumatic components to reject the bad products. , and finally output the qualified products, and the back-end conveying platform of the testing machine can be connected to the automatic packaging mechanism.
Product configuration
●High pixel industrial camera
●High resolution industrial lens
●High-brightness strobe light source
●Artificial intelligence (Al) algorithm
●High-performance GPU computing processing platform
●High-resolution industrial touch screen
Equipment overview
➢ Online high-speed detection, improve detection efficiency and accuracy, and reduce labor costs.
➢ Accurate identification of high-pixel industrial cameras, the number of cameras is designed on demand, the accuracy is 0.1mm, and the speed is 2500 pieces/min (can be customized according to testing needs).
➢ Compatible with testing products of multiple specifications, saving costs.
➢ Detect and remove defects such as black spots, color difference, impurities, gaps, leftovers, flash, bubbles, voids, deformation, uneven thickness, size and other defects on caps.
