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Computer Vision Engineer — PCB Defect Detection

Kristoffer Hansen

Freelance · Senior

No longer accepting applications

About the role

PCB manufacturer. 4 production lines. Manual optical inspection by humans is slow, inconsistent and can't keep up with volume. Defect types we need to detect: missing components, solder bridges, lifted leads, wrong polarity, pad damage. All via 2D top-down camera images. We have 80k labelled images from the past 18 months. We need a model that runs on our existing NVIDIA hardware at line speed, outputs bounding boxes with defect type and confidence, and has a false negative rate under 0.5%. Deliverables: trained model, inference API, integration guide for our production system. Internal team handles deployment.

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Categories

Computer Vision & Deep Learning computer vision

Skills

computer vision pytorch python docker

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Contract Type

Fixed-price

Level

Senior

Budget Range

$15,000 – $25,000 fixed

Duration

8–10 weeks

AI Expertise

Computer Vision & Deep Learning computer vision

Skills

computer vision pytorch python docker

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