Computer Vision and Sensor Integration

Computer vision allows AI-powered robots to interpret and understand their surroundings using cameras and advanced image-processing techniques. With the help of deep learning models, robots can detect objects, recognize faces, read text, and navigate through environments.

Key components of computer vision in robotics include:

Object Detection – Robots identify and categorize objects in real time.

Depth Perception – Using LiDAR, stereo cameras, or infrared sensors, robots estimate distances and avoid obstacles.

Facial Recognition – Social and security robots use AI to identify individuals and interact accordingly.

Apart from visual data, AI-powered robots integrate other sensors, such as ultrasonic, infrared, and tactile sensors, to enhance perception. These sensors allow robots to detect movement, measure temperature, and respond to touch. AI processes all sensory inputs to make informed decisions, improving autonomy and accuracy in robotic operations.