Perception Systems

Published:

Perception systems help an AI or robot make sense of what is happening around it. They take raw data from sensors, such as cameras or depth sensors, and turn it into information the machine can use to understand obstacles and the general layout of its surroundings. These systems rely on computer vision and pattern recognition techniques to detect important features and track how the scene changes over time.

A reliable perception system must handle challenges and run quickly so the robot or AI can react without delay. The quality of the system strongly affects how safely and accurately an autonomous machine can operate, because every decision the robot makes depends on how well it interprets what it sees.

Follow us on Facebook and LinkedIn to keep abreast of our latest news and articles