Industry
Digitalisation for the food industry
Manual quality inspection on the line is slow and error-prone. We implement AI-based image processing that detects defects in real time — without production downtime, and with over 97% accuracy.
Challenges in food production
- Manual visual inspection is error-prone and tied to the line cycle
- Complaints about packaging defects or fill-quantity deviations
- Hygiene requirements restrict sensors and hardware
- High throughput — no time to stop the line for inspection
- Batch traceability in a recall has to be complete
What we deliver for food manufacturers
Computer vision quality inspection
Industrial cameras and a CNN model detect packaging defects, foreign bodies and fill-quantity deviations with >97% accuracy. Automatic rejection without stopping the line.
IIoT monitoring & OEE
Line speed, downtime and quality data visible live — for shift supervisors and quality assurance at the same time.
Traceability
A QR code or DataMatrix on every unit — batch assignment, shift log and production parameters archived completely.
Hygienic hardware
IP67/IP69K-rated cameras and edge devices that withstand cleaning cycles. No compromises on food safety.
Reference projects
Food technology · Germany
Computer vision quality inspection
97% accuracy, −91% manual inspection, +8% throughput