Real-Time Edge Computer Vision for Manufacturing Defect Detection
An edge-deployed vision architecture designed to inspect machined components at 300 parts per minute, combining telecentric optics, INT8 quantized segmentation, and sub-15ms PLC reject actuation.
Operational Scenario
A proposed precision manufacturing facility running high-speed stamping lines experiences 1.8% defect rates due to micro-cracks and tooling wear. Human inspectors suffer visual fatigue across 8-hour shifts, and cloud-based vision APIs cannot meet the line's strict 30-millisecond inspection latency window.
Target System Architecture
- 1Optics & Illumination: GigE Vision global-shutter cameras paired with telecentric lenses and darkfield coaxial strobes triggered via hardware optocouplers.
- 2Edge Inference Runtime: On-premise industrial PC running an INT8-quantized YOLOv8/RT-DETR model via NVIDIA TensorRT, achieving 11ms per-frame inference.