Note Printing Quality Control System Design

Machine vision technology is widely used in packaging, automotive, machining, electronics, food and other industries. Note printing quality control system experimental device is designed based on machine vision technology. The whole system is based on electronic technology, software technology, digital image processing technology and the important marks on the note is recognized. In the theses the design of the note printing quality control system involves several key technologies for the following research work:1,According to the characteristics of machine vision technology which is applied to the detection of the industrial production and the actual scene of the industrial production a set of note printing quality control system device is designed. The design of the device mainly includes three aspects: the selection of image acquisition of equipment involved in the selection of industrial camera and image acquisition card; the selection of light source and lighting design ; experimental mechanical design. The device can be suited to the needs of actual production and the impact of the camera and light regulation on system can be analysed. Adjustable sliding components used in fixed mode make debug easier.2,The image segmentation algorithm used in the specific note with complex shading background is proposed. Use the morphology of multiscale edge detection algorithm to extract the image edge and utilize the histogram of the edge of the gradient image to determine the threshold for image segmentation adaptively.3,The template matching recognition method is the core of the image recognition system module. The basic structure of pattern recognition system is analysed and a comparison between the template matching method and several other pattern recognition methods including statistics recognition, syntax recognition, fuzzy recognition, artificial neural network method is drawed. An introduction of the advantages and characteristics of the feature-based template matching method is made. The note printing quality control system uses the Euler feature of the image gray skeleton as the first classification layer and the stroke density feature and grid feature are used as a second-class classification layer.4,Use the VC + + development environment to develop a note printing quality control system visualization software. The design of software is based on the modularization of thinking and the modules include image acquisition module, scheduling module, image processing module, communication module.