By using 3D scanning technology, the image signal is transmitted to the image processing system to obtain the shape information of the target. Based on pixel distribution, brightness, color, and other information, it is transformed into a digital signal, and then the device action on site is controlled based on the discrimination results.

The integration of 3D imaging technology and artificial intelligence algorithm technology to achieve comprehensive digital 3D reproduction of data, equipment, workshop, and factory levels, as well as data exchange, dynamic real-time presentation, and interactive control, has become an important part of factory digital management.

The measurement data in industrial scenarios is presented in the form of graphical images through big data cleaning and visualization technology, and the process of discovering unknown information through data analysis and development tools is utilized to achieve early warning and optimized decision-making.

Based on algorithms such as real-time perception and real-time dynamic trajectory planning, a series of intelligent closed-loop systems are implemented for the scanner to perceive, calculate, and make decisions on the processing object in real-time while in motion, to meet complex, highly sensitive, and timely job tasks and requirements.