Manufacturing
AI Quality Inspection System
Edge-deployed vision inspection on a packaging line, flagging defects in real time at 98.6% accuracy.
Computer VisionAIQuality Control
98.6%
Detection accuracy
-70%
Manual inspection load
+18%
Line throughput
The Challenge
Manual visual inspection on a packaging line was catching defects inconsistently, with inspector fatigue causing missed rejects during peak shifts. There was no record of what was caught or missed.
The Solution
We built a computer vision inspection pipeline using edge-deployed detection models on line-side cameras, flagging defects in real time and logging every inspection centrally.
Implementation
- 1Collected and labelled a defect dataset from the actual production line
- 2Trained and optimized detection models for edge inference
- 3Deployed models on line-side hardware for low-latency inspection
- 4Integrated a defect log and alerting into the plant's monitoring dashboard
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