This system integrates artificial intelligence applied to vision. Deep Learning uses neural networks that mimic the human brain, capable of identifying products by their characteristics while tolerating some variations. This technology combines the flexibility of human visual inspection with the speed and reliability of an artificial vision system.
Inspections:
- Surface foreign body detection and cross-contamination
- Cross-reference detection
- Comparison and verification of the product against content information (RFID, 1D/2D code, OCR vs image)
Additional inspections you can add:
- Identification of surface defects using Deep Learning, such as stains, discolorations, foreign objects, dirt, etc.
- Detection of metallic particles within the product
- Detection of internal foreign bodies not visible externally using X-ray: metal, glass, bones, dense plastics
- Verification of internal content (uniformity, filling, integrity)
- Verification of product reference according to batch or production order
Classification types:
- Meat cutting classification
- Tray classification
- Logistics classification
Ensures product-label correspondence.
