Artelligence AI

Computer Vision and Sensor Systems in Robotics

For autonomous robots, the ability to "see" and analyze their surroundings is essential. This is achieved through computer vision and sensor systems.

Students train AI to analyze images and videos from cameras using:

OpenCV – a powerful library for image processing.
YOLO, Faster R-CNN – deep learning models for real-time object detection.
LIDAR and depth sensors – used for distance measurement and 3D mapping.

These technologies are applied in self-driving cars, medical robotics, industrial automation, and even humanoid robots.