Empty Brown Glass Bottle Inspection Machine For Pharmaceutical Industry

Empty Brown Glass Bottle Inspection Machines For Pharmaceutical Industry

Equipment configurations
 

Inspection principle

The appearance defect detection of glass bottles based on machine vision technology can not only eliminate the hidden safety hazards brought by defective glass bottles to production and life, but also reduce the labor intensity of inspectors, improve inspection efficiency and inspection accuracy, and improve the quality of glass bottles. stability.

The production quality of glass bottles is related to the safety and stability of people's lives. In the process of manufacturing, transportation and reprocessing of glass bottles, it will inevitably cause damage to the bottle mouth, bottle body and bottle bottom of the glass bottle. Afterwards, there will be a pressure difference, resulting in the existence of pressure inside and outside the bottle, and the bottle will burst after being violently hit, posing a great safety hazard and even affecting the smooth progress of the entire production process. Therefore, it is particularly important to inspect glass bottles and reject defective glass bottles.

Inspection details

Glass bottle defect detection based on machine vision technology mainly realizes the detection function of human eyes with the help of machine vision system, involving optical technology, electronic technology, image processing technology, mechanical automation technology and computer control technology.

Glass bottle defect detection based on machine vision technology is to process and analyze the images collected by industrial cameras with the help of machine vision detection software, analyze the detection results to generate specific report information, and use the results to control the production process and the movement of the object to be measured.

Test items for different parts of glass bottles:

① Glass bottle mouth detection: whether there are gaps or cracks on the surface of the bottle mouth;

It is detected whether the glass bottle mouth in the glass bottle sample is defective. If the glass bottle is defective, the system automatically informs the photoelectric sensor, and when the defect is displayed in the detection image, the robot immediately responds to grasp the defective glass bottle.

② Glass bottle body detection: whether the surface of the bottle body is damaged or scratched;

It detects whether the glass bottle body in the glass bottle sample is defective. If the glass bottle is defective, the system automatically informs the photoelectric sensor, and the robot responds immediately when the defect is displayed in the detection image, and grasps the defective glass bottle.

③ Glass bottle bottom detection: Check whether the bottom surface of the glass bottle is cracked or damaged.

It detects whether the glass bottle body in the glass bottle sample is defective. If the glass bottle is defective, the system automatically informs the photoelectric sensor, and the robot responds immediately when the defect is displayed in the detection image, and grasps the defective glass bottle.