The fiberglass chopped strand mat surface defect detection system employs artificial intelligence algorithms and machine vision technology. Within a certain range, it can automatically adjust its algorithm to detect foreign objects and defects with superior performance, adapting to variations in type, weight, width, light source attenuation, or the replacement of the light source. It features rapid acquisition of large amounts of information, easy automated processing, and simultaneous integration of design, processing, and control information.
Suitable for: chopped strand mat fabrics, nonwoven fabrics, meltblown fabrics, needle-punched fabrics, etc.

Function:

1. It can continuously monitor in real time to meet users' continuous production needs.
2. When a defect is detected, an alarm can be triggered, and the fabric length and image at the time of the defect can be automatically saved to the database to count the defects and their specific locations.
3. Product quality reports for any time period can be exported, including defect images and data. The records are complete and easy to find, meeting customers' traceability needs.
4. It can automatically detect fabric length and speed, and save the records.
5. The equipment can save images of abnormal felt surfaces for one year, facilitating quality tracking.