Deep learning-powered defect detection, dimensional measurement, and appearance sorting solutions
Scratches, cracks, burrs, missing material, contamination — multiple defect types automatically identified and classified via deep learning models. Supports concurrent multi-defect detection with full coverage in a single imaging pass per workpiece.
Micron-level accuracy for precision parts such as bearings, connectors, and chips. Telecentric lenses + sub-pixel algorithms, repeatability ±0.01mm.
Product traceability codes, batch numbers, logo print quality inspection. Supports irregular fonts, curved-surface characters, laser marking, and more.
Mixed-part detection and product model identification. Trainable with minimal samples — new product changeovers require no algorithm rewrites, just retrain and deploy.
| Inspection Item | Accuracy | Speed | Method |
|---|---|---|---|
| Surface Scratches | ≥0.02mm | 200–600 pcs/min | Deep Learning Semantic Segmentation |
| Cracks / Chipping | ≥0.05mm | 200–600 pcs/min | CNN Classification + Edge Detection |
| Dimensional Measurement | ±0.01mm | 100–300 pcs/min | Sub-Pixel Measurement |
| Mixed-Part Detection | 99.5%+ | 200–600 pcs/min | Template Matching + Deep Learning |
Designed for appearance inspection of small precision parts, supporting multi-camera, multi-angle synchronized imaging. Vibratory feeder + disc alignment with real-time AI OK/NG classification and automatic sorting. Ideal for bearing rollers, fasteners, electronic components, and more.

Integrated multi-station vision inspection, laser marking, and auto-sorting. Handles shaft parts 3-25mm diameter. One machine replaces 3-4 traditional stations.

Integrated multi-station vision inspection, laser marking, and auto-sorting. Handles shaft parts 3-25mm diameter. One machine replaces 3-4 traditional stations.
Tell us about your products and inspection requirements — we offer a free feasibility assessment
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