automated visual inspection for quality inspection

Automated Visual Inspection for Quality Inspection

The visual inspection machine and bottle vision system for cosmetic bottles can not only detect the appearance defects of cosmetic bottles, but also can be widely used in the inspection of transparent or non-transparent bottles such as dairy bottles, daily chemical bottles, and beverage bottles. Main inspection contents: Detecting appearance defects such as lack of material in flash, black spots, uneven thickness, deformation, etc. It can be connected with back-end auxiliary machines such as leak detectors, balers, and case packers, and is equipped with high-speed bottle inspection machines. It can meet the simultaneous connection requirements of multiple devices, and the maximum detection speed can reach 36,000 bottles/hour. It is equipped with special light source design and secondary photography products, which can realize comprehensive inspection of the inside and outside.

The main control platform adopts a standard industrial computer, with a visual acquisition board and a signal control board, and the industrial camera adopts a fixed-focus or adjustable-focus CCD and other high-precision megapixel industrial camera camera lenses: optional light sources are white light, red light , blue light, infrared light, bar light, coaxial light, ring light, etc.

The visual inspection machine or Bottle Inspection Services for cosmetic bottles can intelligently detect various defects in the appearance of cosmetic bottles, so as Automatic Bottle Inspection also help customers optimize production processes, Machine Visual Inspection also save labor costs and improve product quality. and realize intelligent management of product quality inspection for customers.

Cosmetic bottle visual inspection machine product type recognition system is based on computer vision and pattern recognition theory, by acquiring product images, processing and analyzing the images, extracting characteristic parameters reflecting the morphological structure of product varieties, and then using the characteristic parameters to carry out corresponding products. Feature matching, thereby realizing the visual identification of product appearance defects.