The conveyor belt machine is widely used in many industrial fields, such as mines, ports, coal and power industries, for the transportation of materials. However, traditional monitoring methods often have limitations, making it difficult to comprehensively, accurately and real-time grasp the operation status of the belt machine and the material transportation situation. The use of 3D visual recognition technology aims to achieve more intelligent, efficient and accurate monitoring of the conveyor belt machine, ensure its stable operation, prevent failures, and improve the efficiency and quality of material transportation.

The technical principle of conveying belt monitoring is to collect belt and material information by installing 3D lidar sensors and visual equipment such as belt movement, no-load, offset, overflow, tearing, blocking, and stacking, and then use data transmission to send the signal to the processing center for analysis and comprehensive analysis. Then, through automated control and alarm systems, the belt machine is guaranteed to operate normally.

The monitoring of material transfer jams is a monitoring method that uses 3D lidar, line-scanning laser, sensors, visual recognition and other technologies to detect the accumulation and blockage of materials at the transfer point in real time, and provide timely warning to ensure the smooth flow of materials.

With the integration of lidar and video technology, Raytheon all-in-one machines can accurately monitor the number, density, and flow of people in railway passenger stations and other places in real time, providing strong support for passenger flow management and operation decisions.