Based On Laser Ring Active Tags Of Monocular Vision Test Platform

Replacing human labor with machine is a goal constantly pursued by human beings in the long-term production. But the application of machine vision has been widely developed. It is a kind of technology which uses the visual sensor and computer to realize the man’s visual function. It is the last word referring electronics, mechanism, optics, computer and communication technology, and which is the most important part of high tech field. The purpose of this paper is using laser ring to get the object surface depth information to obtain the object pose, which discusses the overall design of experimental platform, the technology of camera calibration, the design of six degrees of freedom pose regulation platform(SDFPRP).The method of the monocular vision and laser ring initiative mark combination is put forward to determine the pose of the space target object through analyzing the monocular vision calibration model and calibration method. The cameras axis and laser source axis parallel is assumed to build the model and the mechanism of the monocular vision and laser ring active mark combination is analyzed to obtain the depth information to determine the necessary internal and external parameters calibration of the camera. The space positions of the laser source axis and camera axis are found, and the establishment method of the internal and external parameters of camera is obtained.The SDFPRP based on the overall design of experimental platform is designed. The kinematics model and equation of the SDFPRP are built. Finally, the kinematics inverse solutions are solved to provide the basis of the object pose adjustment, and the basis is provided for the closed-loop control system. Three coordinate measuring machine, SDFPRP, target, laser source and camera are used to build the experimental platform based on laser ring active mark of monocular vision. The hardware and software component of the calibration platform and its functions are systematically introduced and the MATLAB are used for reading the image, the threshold segmentation, edge detection and extraction, image corrosion and image data storage.The correctness and reliability of the overall design of experimental platform are verified through the experiments. The equal spacing ring on the square target is used to analyze the lens distortion of the camera. The necessary internal and external parameters calibration of the camera is finished. The precision of the focal length calibration is verified through changing the depth information. The experiments show that the overall design of experimental platform is correct and reliable, and the calibration results are ideal.