Design And Implementation, Enlarging Its Online Detection System Based On Machine Vision

With the continuous development of people's living standards, presswork becomes more and more subtle with higher press speed, which meets the needs of customers with high quality and diversity. Because of the effect of subjectivity in defect detection artificially, the detect speed and precision can not be meet in industry. It is imminently necessary to take the machine vision and image processing into roboticized detection of presswork. With the development of software and hardware of computer, it is feasible to carry on the surface quality detection of presswork with machine vision. Make use of the theory, some successful manufactures have been produced in few manufacturers all over the world.Based on analyzing and studying the common machine-vision-based inspection system, an on-line defect detection experiment system for printed matter based on machine vision is designed and built, which provides a platform for studying on-line printing defect detection. This system is consisted of a computer, a line scan CCD camera, a frame grabber, a light source and a rotary encoder. With these hardwires and the data access method made up of the Halcon image processing plat and VC++, it is feasible to collect and detect colorized presswork online. In the printing industry, the quality inspection of printing has been carried out by the manual, this article presents a design and implementation of on-line defect detection system for cigarette packet, and give a good solution to the problem the of on-line defect detection for cigarette packet. Firstly, this article introduce a design principle of the entire system, including the logical relationship between a variety of hardware and the task they need to complete. Secondly, expound a machine vision algorithms of defect detection for cigarette packet. Finally, basing on experimental, make a analysis of the advantages and disadvantages of the entire system.