Project Overview
This project used computer vision to detect faults on manufacturing products, improving process quality and reducing manual inspection time.
Problem
Vision-based inspection system for automated defect detection in industrial production.
Solution
This project used computer vision to detect faults on manufacturing products, improving process quality and reducing manual inspection time.
Features
Reduced manual inspection effort and improved defect identification accuracy.
Technologies Used
Python, YOLO, OpenCV, Raspberry Pi
Results
Reduced manual inspection effort and improved defect identification accuracy.
Project Summary
Category: AI / Computer Vision / Industrial Automation
Technologies: Python, YOLO, OpenCV, Raspberry Pi
Results: Reduced manual inspection effort and improved defect identification accuracy.