AI quality control and classification for meat and packaged products
Each tray is imaged from above and an AI model determines product type and grade. In the same frame the seal line and the label position are measured, and a non-conforming tray is moved to a side lane.
Class code, seal width and label displacement are sent to line control. A non-conforming tray is pushed to the side lane; its defect region and measurements appear on the operator display.
- 01 Infeed
- 02 Acquire
- 03 AI analysis
- 04 Routing
Trays holding different products arrive at the station in mixed order.
- Class
- —
- Seal width
- —
- Label offset
- —
Scenes are illustrative simulations; they are not customer references or performance guarantees.
Need
Stretch film and wet meat reflect light in different directions. Product type and natural texture vary; seal-edge residue and label displacement must be sought in separate regions.
Solution approach
An overhead camera images the tray under balanced oblique bar lights. AI classifies product type; the seal contour and label position are referenced to the tray edge. Region results and class bars appear on the display.
Process steps
- 01
Infeed
Trays holding different products arrive at the station in mixed order.
- 02
Acquire
Two opposed bar lights strobe and the camera images the tray from above.
- 03
AI analysis
The AI model returns product type and grade; seal line and label are measured.
- 04
Routing
Depending on class code and check result the tray stays on the line or moves to the side lane.
Related applications
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