Image Acquisition and Geometric Comparison of Mechanical Components for Precision Dimension and Tolerance Evaluation Using YOLOv8 and OpenCV

This AI-powered machine vision system automatically detects mechanical components using the YOLOv8 object detection model and performs precise dimensional and geometric comparison using OpenCV image processing techniques. The system compares the captured component with a reference model to measure dimensions, identify geometric deviations, and verify manufacturing tolerances. It generates inspection reports and classifies each component as *PASS* or *FAIL* based on predefined tolerance limits.

#Objectives

✅ Automatic Mechanical Component Detection using YOLOv8
✅ Image Acquisition from Camera or Stored Images
✅ Precision Dimension Measurement
✅ Geometric Shape Comparison
✅ Tolerance Evaluation & Deviation Analysis
✅ PASS/FAIL Quality Inspection
✅ Automatic Inspection Report Generation
✅ Real-Time Dashboard Monitoring
✅ Reduce Manual Inspection Errors
✅ Improve Manufacturing Quality Control

Web Dashboard Features

* Live Camera View
* Component Detection
* Dimension Measurement
* Tolerance Comparison
* PASS/FAIL Status
* Inspection History
* Measurement Reports
* Image Storage
* Admin Login
* Data Export (PDF/Excel)

*Applications*

🏭 Manufacturing Industries
⚙️ CNC Machining Inspection
🔩 Mechanical Component Quality Control
🚗 Automobile Parts Inspection
✈️ Aerospace Manufacturing
🔬 Precision Engineering Laboratories

📦 Includes:
✅ Source Code • YOLOv8 Model • Web Dashboard • Documentation • Project Report • Installation Guide • Technical Support