Implementation of computer vision algorithms for inspection, guidance, and quality control in automation.
About this course
Machine vision systems are the eyes of modern automation. In ELNX 5440, you learn how to design, implement, and maintain vision systems that guide robots, inspect products, and ensure quality in manufacturing environments. You will work with industrial cameras, lighting setups, and vision processing software to solve real-world inspection problems.
The course covers camera selection, lens choice, illumination techniques, image preprocessing, feature extraction, and integration with control systems. You will complete hands-on labs using industry-standard vision software and hardware, culminating in a final project where you design a complete vision solution for a specific industrial application.
Who takes this course
Credits: 3 · Hours: 45
Prerequisites
Learning outcomes
- Configure industrial cameras, lenses, and lighting for automated inspection tasks.
- Implement image processing algorithms for defect detection and part identification.
- Integrate vision systems with programmable logic controllers and robotic arms.
- Calibrate vision systems for accurate spatial measurement and guidance.
- Troubleshoot vision system hardware and software in a production environment.
- Evaluate vision system performance using statistical process control methods.
Evaluation
| Component | Weight (%) |
| Practical Labs | 40 |
| Midterm Examination | 20 |
| Final Project | 30 |
| Quizzes | 10 |