Computer Vision Course
This course equips you with computer vision expertise for inspecting printed circuit boards in electronics production. You will cover imaging fundamentals, dataset preparation, advanced detection with YOLO and U-Net models, deployment strategies, and monitoring tools to develop efficient, real-time quality control systems that ensure high accuracy and reliability in modern manufacturing environments.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain skills to create complete PCB inspection systems using computer vision. Master image capture, optics, lighting setups, preprocessing techniques, dataset creation, labelling, data augmentation, board identification, defect segmentation, and final processing steps. Also learn model deployment, system monitoring, performance checks, and ongoing enhancements for reliable, fast visual inspection in manufacturing.
Elevify advantages
Develop skills
- Design effective PCB vision datasets by labelling, augmenting, and balancing real and synthetic data.
- Implement reliable board detection using classical computer vision and YOLO localisation techniques.
- Develop defect detection pipelines for small parts, including segmentation and rule-based analysis.
- Optimise models for deployment with quantisation, edge computing, and real-time adjustments.
- Manage production vision systems through drift monitoring, KPI tracking, and secure rollback procedures.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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