FaultFinder — Telegram AI PCB Defect Detector

About this project

Build an AI-powered PCB defect detection system using ESP32-CAM, edge detection algorithms, and Telegram Bot interface. Capture high-resolution PCB photos, receive instant analysis highlighting solder bridges, missing components, trace breaks, and misaligned parts. Features golden board comparison (reference vs. test board diff), automated optical inspection (AOI) scoring, defect classification (shorts, opens, tombstoning), and quality control reports with pass/fail statistics. Perfect for electronics manufacturing QC, student project verification, and repair shop diagnostics.

What you get

• Complete, commented source code
• Full components list with quantities
• Pin-by-pin wiring guide and connection table
• Step-by-step upload and testing guide
• Project report (.docx, IEEE style)
• Presentation slides (.pptx)