Defect Detection Using Deep Learning-Sprocket Gear Surface Inspection

Defection items: Sprocket appearance defect detection

(Note: The image should be clearly visible)

bumps, scratches, black spots

pull marks, bump marks

Program Description:

Through acquiring image information, to achieve the presence of defect detection, analysis and research and make specific judgments. It is necessary to have a small deviation in the position of each incoming material to ensure that it is within the field of view;

Note: Inner hole scratches can not be detected.

System function:

1. When the system detects faulty products, output alarm signals.
2. Display real-time information, record detection information.
3. Provide system parameters adjustment, image saving and other special functions. The system interface is friendly, operable and intuitive.
4. In order to ensure data security, the system is equipped with permission management, only the administrator with permission can modify the corresponding system parameters.
5. Based on the type of product automatically differentiates, automatically matches the inspection program, inspection area can be adjusted according to the actual situation.
6. Automatic statistics, saving, querying and recalling inspection history records.
7. Automation linkage of production lines, remote technical services, etc.

Ai-intsoft vision system Kit

Detecting effects: