This robot combines electronic technology, technological sensitivity, and intelligent control technology. It is a machine capable of automatically completing tasks. It can accept human commands, and because of the principles and procedures established by human intelligence technology, it can operate autonomously. It is used in many fields. As an industrial robot, this paper analyzes the application of visual positioning technology and provides an effective visual positioning method for various parts of the work. Through special image processing programs, the industrial robot's vision system can achieve reliable positioning, improve the position of T-particles, and enhance operation. [Discussion on Industrial Robot Visual Positioning Technology and Applications]
1. Industrial robot visual positioning technology
Machine vision is a new discipline aimed at developing robotics technology. Through timeless design and aesthetics, it is being used in more industries and fields. Its basic principle is to use cameras and computers to make people's eyes higher than their hearts. Current robot vision technology can be divided into two-dimensional visual positioning technology and three-dimensional visual positioning technology. Among them, two-dimensional positioning technology based on everyday appearance is the most widely used. But most importantly, through mechanical positioning, the location of industrial plans becomes more complex. High values are only used for two-dimensional images in certain places.
2. Application of industrial robot appearance technology
Due to the information exchanged between the camera and the robot, robot view systems can be categorized into two distinct types: one where the camera is positioned at the end of a robotic arm so the machine can move together; and another where the camera cannot move with the robot. You can use the entire system to divide the view into two distinct perspectives. The first distinct robot view system requires calibration. Calibration is achieved using 2D image points and 3D object points. Secondly, it is necessary to verify the 3D coordinates of the work and ensure that the work is performed by an industry-standard robot to validate the coordination information. 121
3. System calibration
On the other hand, we need to pay attention to camera parameter calibration. In the robot view position, if you want to define the position of the worksheet and its relationship, you need to use the model as a reference for analysis and research, and combine the image principle at a certain point to define a reliable information model. First, the operator can change the coordinate system, convert the world coordinate system to the camera coordinate system, and correctly guide the space of the camera so that the external parameters of the camera match the first coordinate of the camera. Then, we need to coordinate the system transformation more closely, convert the previously converted camera coordinates to the flight coordinate system, and delete the specified coordinates of the specified image cable points on the objects in the image. For example, the German company MVtec can use the high carbon cycle plate identified by the camera parameters themselves to calibrate the display algorithm of the HALCON machine. Along with the calibration plate taken from different positions of the camera, I guarantee that the camera calibration has certain differences. During the calibration phase, the camera must ensure that some basic parameters are defined as the aperture and focal length of the camera. After calibration, the internal parameters of the camera will not change [3]. The external parameters will not change due to the different positions of the camera. Unless there are special circumstances, the first image will usually be used as a reference point for defining the world coordinate system and the technique for calculating the external parameters of the camera.
