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.
