The robot sorting equipment is equipped with various sensors and cameras, using optical, infrared and other sensing technologies as well as machine learning algorithms to detect, identify and classify garbage in real time. These systems are able to accurately differentiate between different types of waste such as plastic, glass, metal, paper, etc.

Once the garbage is identified and classified, the robotic arm of the robot sorting equipment will sort and place various types of garbage into the corresponding containers or processing lines according to preset programs and algorithms. Robotic arms usually have flexible movement capabilities and precise operations, and can complete sorting tasks quickly and accurately.

The control system of the robot sorting equipment is the brain of the entire equipment. It is responsible for monitoring and adjusting the operating status of the equipment, responding to data from sensors and vision systems in real time, guiding the movements of the robotic arms, and optimizing and adjusting classification and sorting strategies as needed.