Maintenancedemo-0015
Computer Vision Quality Inspection
Camera inspects products for defects in real time. YOLO detection plus a vision language model provides pass/fail verdicts with natural language defect descriptions.
gpucomputenvidiahpaihpzgxn001in-progress
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Lab overview
No walkthrough is recorded for this demo yet, so this is a 21 sec tour of the lab and how to use it.
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Overview
A two-stage inspection pipeline: YOLO runs at frame rate for fast object detection, while a vision language model (LLaVA) provides detailed defect analysis every 2 seconds with natural language descriptions of what's wrong.
What You'll Learn
- Computer vision for manufacturing quality control
- YOLO object detection + vision language model pipeline
- Reference image comparison for defect detection
- Real-time inspection statistics and pass rate tracking
Key Capabilities
- Real-time PASS/FAIL/REVIEW verdicts with confidence scores
- Natural language defect descriptions (not just labels)
- Reference image upload for comparison-based inspection
- Inspection statistics dashboard with pass rate tracking
- Image upload mode for offline inspection