Computer Vision QA
Edge-deployed defect detection and visual inspection wired into MES with measured drift and latency.
What we are solving
Manual QA misses defects and slows the line. Cloud-only vision is too slow and too expensive for high-throughput production environments.
How it works
Vision models distilled to run on NVIDIA Jetson and Triton at the edge, with sub-50ms inference, drift monitoring and a labelling feedback loop. Bad units are auto-flagged in MES and rerouted before they leave the cell.
Where it ships
Surface defect classification on stamped, painted and welded parts with full traceability to the work order.
Parcel damage and label verification at sortation throughput speeds.
Fill-level, seal and date-code verification with audit-grade evidence retention.
Tech stack
Engagement deliverables
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