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Computer Vision QC System

A high-speed visual inspection system for manufacturing lines, capable of detecting microscopic defects in real-time using edge computing.

The Problem

Manual visual inspection relies on human attention, which degrades over shifts, allowing defects to slip through to shipping.

The Solution

Deployed a custom YOLOv8 model optimized for edge devices (NVIDIA Jetson). The system identifies surface anomalies in <50ms and triggers automated rejection mechanisms without stopping the line.

EDGE INFERENCE
INITIALIZING...
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System Architecture

YOLOv8OpenCVEdge ComputingIoT

Key Results

Accuracy rate
99.9%
Defect Detection
Computer Vision
Manufacturing
Edge AI