Summary for Food Manufacturers
How AI Foreign Object Detection Works
AI systems use a combination of:
- High‑resolution vision cameras – to spot visible contaminants on the surface (e.g., plastic pieces, insect parts, stones, bone fragments).
- X‑ray imaging – to detect dense materials inside sealed packs (e.g., metal fragments, glass shards, stones, hard plastics, bones).
- Hyperspectral sensors – to analyse the spectral signature of materials and distinguish foreign objects from the food itself.
Deep learning models are trained on thousands of images of both clean product and contaminated product so they can reliably recognise:
