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The shaft sleeve surface is smooth, scratches, rust, knock and other defects are common, multi-faceted defects need to be detected, through customized imaging technology +AI detection, greatly improve detection accuracy, reduce labor costs
In the production of fastener products, there are often dark spots, damage, underwear and other undesirable phenomena, and some reflective phenomena. Due to the large production volume, AI segmentation detection is used to achieve high-speed and accurate detection and improve the production efficiency
In view of the defects of plastic ring, such as pressure deviation, bulge, damage and so on, it can be quickly and accurately detected by rotary type detection, and meet the requirements of various types of detection applications
For multiple models of inductor products, the defects such as leakage, dirt, and damage can be detected, and missing characters and errors can be identified with high precision.
The production of disposable paper cups is large and fast, and it is easy to product black spots. Through rapid positioning detection, it can maintain an ultra-low misjudgment rate and effectively assist production.
The background and defects of the battery cells are similar, resulting in a large number of missed detection in manual detection. Through the AI detection scheme, defects such as broken grid, hidden crack, scratch, black spot, black edge and pollution can be accurately identified
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