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Electronics Contract Manufacturer · AI Visual Defect Detection

Vision models on the line catch scratches, smudges and missing parts — escape rate below 0.3% with half the inspection headcount.

<0.3%Defect escape rate
-50%Inspection headcount
01

The Challenge

Cosmetic inspection relied on human eyes: workers tired, standards drifted, defect samples were scarce and varied, and traditional vision systems took weeks to retune for each new model.

02

The Solution

FDEs worked with the quality team on site to define defect standards, collect and label samples, and train models quickly with few-shot learning and LLM-assisted labeling. Models run on edge devices on the line; suspected defects go to human review and feed back into training.

03

The Results

Escape rate fell below 0.3%, inspection headcount dropped 50%, and model adaptation for new products shrank from 4 weeks to 1.

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