A cost-effective, machine vision-based inspection system designed to automate quality control for small manufacturing environments. This project uses PyQt6 and OpenCV to provide a user-friendly interface that assists operators in measuring and verifying the dimensions of parts with high accuracy.
- Precision Measurement: Achieves an accuracy within 1 mm for simple dimensional inspections.
- Contour and Depth Detection: Uses stereo vision and depth data to calculate part dimensions and detect contours in real time.
- Intuitive User Interface: Blueprint-style layout for easy setup and inspection of part dimensions, reducing the need for specialized training.
- Python: Core programming language for development.
- PyQt6: GUI framework for building the user interface.
- OpenCV: Image processing and computer vision library for contour detection and edge analysis.
- Intel RealSense Camera: Depth-sensing camera for dimension calculations.