In-Sight vision system applies medical plastic bottle inspection

Since medical plastic bottles are the main core of a certain company, the quality requirements for the products are very strict. In order to save human resources and improve detection efficiency, a company adopts Cognex's In-Sight vision system .

By using the advanced pattern matching technology PatMax to position plastic bottles, its spot detection and defect detection technology can be stably applied to high-speed inspection on conveyor belts. Through on-site testing and calculations, a company has applied a total of 4 sets of In-sight 7402 smart cameras on the inspection line to comprehensively detect defects, missing parts, dirty spots on medical plastic bottles, as well as wrinkles and aluminum edge sealing. Fading, stubble on plastic pipes, etc.

The testing process for medical plastic bottles is divided into two steps:

In the first step, the plastic bottles are brought to the first station and bottle inspection station via the conveyor belt. This station is required to detect the dirty spots, color, stubble, defects, etc. of the bottle body. The sorting speed reaches 200 pieces/ min.

The application of In-sight 7402 smart camera here can effectively complete the above detection requirements. Due to the fast sorting speed, there are high requirements for the camera's operation and processing speed. Cognex's technical engineers solve such problems by increasing the intensity of external light sources, increasing the lens aperture coefficient, and reducing camera exposure time.

In addition, when detecting black spots and dirty spots on the pipe wall, since the plastic bottles are in motion, the stability of the positioning will affect the detection area. Stable positioning can be achieved by using the PatMax positioning function.

In-Sight vision systems have a wealth of tools that can be used to detect defects in plastic bottles. For example, the PatMax tool can accurately locate the detection area of the bottle, and the Blob tool can stably detect dirty spots on the bottle. By adjusting the threshold and judging the area of the dirty spots, it can effectively filter out font interference on the bottle surface. The ExtractHistogram tool is used to detect the gray value of the bottle to determine the color of the bottle.