This invention relates to the field of
visual inspection technology, and more particularly to a
machine vision-based defect detection
system for finished toothbrushes and their packaging. The
system includes a
toothbrush defect detection center, an
image processing unit, an
image analysis unit, a defect factor acquisition unit, a
production line planning unit, and a
visual feedback unit. Based on model-based analysis, this invention quickly identifies whether surface images of collected finished
toothbrush products and packaging contain defects. Furthermore, given the presence of defects, it summarizes the concentrated distribution periods of defects in the finished
toothbrush products and packaging to quickly identify frequent defect intervals in the toothbrush
production line. Simultaneously, it displays the
type distribution of defects within these frequent defect intervals and analyzes the factors contributing to defects in these intervals. Specifically, by analyzing and identifying interference factors from related equipment, it determines whether defects primarily occur in the
processing or packaging areas of the toothbrush
production line, thereby improving the targeting and effectiveness of zoned control.