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Computer Vision Quality Control

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Computer Vision Quality Control

Human visual inspection on high-speed manufacturing lines suffers from fatigue, inconsistency, and high defect escape rates. A missed defect that reaches a client can cause product recalls, contractual penalties, and permanent brand damage. Our Computer Vision Quality Control system mounts industrial GigE cameras over conveyor belts to perform sub-millimeter defect detection at speeds up to 180 units per minute.

Vision AI Inspection Features

Sub-Millimeter Surface Defect Detection

Detects cracks, surface scratches, porosity, and paint blemishes using custom-trained YOLOv8 / segmentation architectures optimized for industrial lighting.

Precision Dimensional Metrology

Verifies component geometry, hole diameters, and thread pitch against CAD tolerances with automated pass/fail classification accurate to ±0.05 mm.

OCR Label & Packaging Verification

High-speed verification of printed batch numbers, expiry dates, MRPs, barcodes, and QR codes to ensure 100% regulatory packaging compliance.

Pneumatic Rejection PLC Trigger

High-speed digital I/O trigger (< 5ms) to pneumatic blowers or diverter arms that physically reject defective products off the belt into a quarantine bin.

Inspection Performance Benchmarks

99.8%
Defect Recall Rate
180 Units
Inspected Per Minute
< 0.2%
False Positive Rejection Rate
16ms
End-to-End Inference Latency

Vision AI Stack

Basler / Hikrobot GigE Cameras NVIDIA Jetson Orin Nano / Xavier TensorRT + YOLOv8 Optimized Models Modbus TCP / 24V Opto-Isolated PLC I/O OpenCV & PyTorch