Automated PCB Fault Diagnosis

📋 Course Outline

1. PCB Structure and Manufacturing Defects
2. Research Objectives and Evaluation Scope
3. Computer Vision and Roboflow Workflow
4. Models and Literature Evidence
5. Experimental Methodology and Tools
6. Performance Metrics and Statistical Tests
7. Detection Workflow and System Specifications
8. Results, Limitations, and Future Development

📖 1. PCB Structure and Manufacturing Defects

🔑 Key Concepts & Definitions

• Printed circuit board : A glass-reinforced plastic board with etched copper tracks that connect electronic components into complex circuits.

📝 Essential Points

★ Must-know

• The study identifies missing components, misalignment, wrong polarity, short circuits, open circuits, solder bridges, component damage, scratches, and damaged traces as possible PCB defects.

Further detail

• PCBs are used in virtually all commercially produced electronic devices because they are rugged, inexpensive, and highly reliable.

🔄 Process — Bare PCB fabrication includes copper foil coverage, photoresist film formation, etching, and film stripping.

💡 Memory Hook