TP Artificial Vision

This course introduces students to the fundamental methodologies and practical techniques used in computer vision. It focuses on applying theoretical concepts to real-world problems through hands-on laboratory sessions using modern tools such as OpenCV.

The course is designed to:

  • Prepare students to use modern computer vision tools and frameworks.

  • Develop a solid understanding of core concepts and techniques in artificial vision.

  • Enable students to design and integrate digital imaging and vision systems into industrial applications.

  • Bridge the gap between signal processing, image processing, and practical vision system implementation.