Study On The Application Of Computer Vision In Robot System For Spraying Ceramic Glaze

The computer vision is an important branch of computer science and artificial intelligence. Along with developing of science and technology, the application study of computer vision has been paid to more and more great attention. In the industry domain, machine vision is becoming one kind of critical technology of raise production efficiency and guaranty product quality. As for the coming robot system, visual servoing will be the important and general control model. The application background of this subject is the robot system for spraying ceramic glaze. The research not only can push forward the modernize course of local ceramic production, but also can promote the application study on visual servoing.Firstly, this paper combines the requirement of production, and design the visual servo system with dynamic position-based look-and-move structure. And at the digital image acquiring aspect, it is need to solve questions such as the selection of image equipment, image digitize and illumination etc. Some researches as below have been carried out with the vision system.Camera calibration: Camera calibration is an important prerequisite for most computational vision tasks. Designing a flexible calibration method is a matter of important meaning. This paper has done analyse and compares to the now available calibration technique, and adopts a simple and applicable calibration method for the system.Low-level image processing: If does not do the earlier low-level image processing, we can not accomplish the image understanding in the later period in a vision system. Thinking over the computer calculation speed and the requirement of low cost, and combines the system needs, puts forward the newer and quicker algorithm for studies the questions such as filtering and segmentation of original image.Feature extraction: Firstly, do the image pre-processing to make the video image being easy to feature extraction. Choosing the suitable image pre-processing method is helpful for raising the antijamming ability to various noises such as reflection of light and shadow etc., thus raise the adaptability to the complicated environment of system. In this paper, mathematics morphology is adopted to deal with the binary image, the optimal method of feature extraction and the location information of object was found in experiments.Accomplish the visual servoing task: Using development tools such as VC and OpenCV of Intel etc to accomplish the software system by study and experiment to make the spraying robot realize the position and orientation by vision information.