[AI Image Inspection Case] Foreign Objects and Defects on Non-Woven Fabric Masks

Detect foreign objects on products processed with patterned non-woven fabric and masks.

There are three main categories of inquiries we receive regarding non-woven fabric inspections. - Inspection in a roll-to-roll state - Inspection of non-woven fabric with printed patterns - Inspection of non-woven fabric processed into products like masks The systems used vary depending on each state. For example, inspections in a roll-to-roll state often utilize EasyInspector, while detecting foreign substances on products with printed patterns or processed into masks is a specialty of DeepSky. Processed products have irregularities and overlaps, which can lead to frequent false detections with standard binarization methods. However, deep learning can learn and detect features such as insects, hair, and debris, making it largely unaffected by the variations in product patterns and processing. Here, we will introduce detections made by DeepSky. - Foreign substances such as hair and debris (Images 1 and 2) - Defects such as wrinkles and tears (Images 3 and 4) In roll-to-roll inspections, a method that continuously monitors with a fixed camera while the product is moving is suitable. However, in cases like the masks that have been processed into individual products, considering automatic discharge, the following system can be utilized.

Contract Inspection