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AI & Intelligent SystemsVerified Prototype
Edge AI Visual Defect Inspection System for High-Speed Assembly
Ultra-low latency edge computer vision system for micro-crack detection on industrial ceramic components.
NVIDIA JetsonYOLOv8PyTorchOpenCVPythonPLC Digital I/OFastAPI
The Operational Challenge
Problem Statement
Manual visual inspection on manufacturing conveyor lines suffered a 14% false-negative rate due to worker eye fatigue at 120 parts/minute.
Engineering & R&D Phase
Methodology & Circuit Architecture
Trained an optimized YOLOv8 nano neural network quantized for the NVIDIA Jetson Orin Nano platform, paired with a global shutter industrial camera and opto-isolated high-speed strobe trigger.
Results & Performance Metrics
Quantifiable Results
Decreased defect escape rate to below 0.2% and increased line throughput by 25% with real-time audit logging and analytics.
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