Problem
Manual inspection was slow, misses were hard to trace, and defect records lived in disconnected spreadsheets.
Solution
We combined visual inspection models with rule-based review and built a line-side dashboard for operators and managers.
Value
Defects surfaced earlier, audit trails became usable, and quality owners could see line performance in real time.
AI visual inspection with production-line traceability
The system connects camera capture, defect recognition, manual review, and dashboard reporting so inspection results move from spreadsheets into a traceable digital workflow.
Delivery scope
- Defect sample labeling and inspection workflow design
- Line-side inspection screen and abnormal-review queue
- Links between defect type, work order, batch, and inspector
- Quality dashboard, export reports, and MES integration hooks
Outcome
Defect records are more complete, quality managers can trace issues by batch and station, manual review load drops, and miss rate is reduced.