Construction and implementation of remote visual guidance system based on embedded hardware

With the rapid development of robot technology, it is an inevitable trend to use machine vision to empower the fields of industrial manufacturing, automobile and intelligent medical treatment in the future. In this paper, the concept of machine vision was used to construct a remote visual guidance system using embedded devices as data acquisition work and sent to the remote end through LAN network exchange. The human foot model was tested as the target object, and the image and point cloud data collected by the Raspberry pi were connected through the depth camera. The network switch was sent to the master, and the visual guidance experiment of the robot was carried out, and the accuracy and reliability of the calculation results were verified.