Vision AI Deep Learning Cover Inspection Machine
The project is based on the intelligent algorithm platform developed by Jiexiang, which can realize 360° autonomous inspection of the glass surface, back cover and side of mobile phones of different sizes and models; it can switch product colors according to production lines; set parameters for font deviation; and adjust parameters for defective size definition according to inspection standards.
Product Detail
Product Features
1. Applicable products: mobile phone camera cover, wearable cover, touch glass cover
2. Applicable size: 1-8 inches
3. Inspection items: scratches, white lines, visible foreign matter, black spots, white spots, convex spots, concave spots, point-shaped foreign matter, broken edges and corners, broken holes, sand edges, sand holes, oil overflow, offset bright edges, contour lines, CD ripples, double steps
4. Inspection cycle: 2-5 seconds/piece
5. Inspection accuracy: 0.03mm
6. False positive rate: <5%
7. Missed detection rate: <0.5%
8. Feeding method: automatic
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