Simple-Type AOI Preparatory Software Design

PCB board components'automatic optical detection electronics industry products is an important field of research topics. It seeks to use miniaturization of the components of high-density circuit board components and high-speed non-contact, high-precision identification and defect detection, thereby overcoming artificial detection labor intensity, poor reliability (error-prone missed and seizure), and other shortcomings, improve product quality and production of electronic efficiency. Automatic optical detection means used by the optical imaging technologies to obtain the detection of digital image, and then from computer images were calculated to bring about the testing of the detection, analysis and judgment. In SMT production line, automatic optical detection system using optical means to obtain measured mount plate image, and then use image matching image patch detection device to detect the location of the circuit board whether there are missing components installed partial installed, and so on.This thesis of SMT assembly and manufacture of automatic optical quality detection technology and systems were studied; AOI software system for a description of the structures, easy-to-use software AOI system was analyzed post-production of automatic optical detector elements were analyzed through the campaign, as admitted , image processing, and other aspects of software design AOI described in the basic design of the software needs, and the greatest degree of improvement to be gained some success.Mainly in the software. Achieve net platform using the C # language development. At the same time in some image processing and computing template matching call on the VisionPro as the image processing library. The main function of the software, including motion control, IO control, and admitted as pretreatment (extraction components). System various functional modules have been tested to achieve the expected results.This paper addresses the SMT production line of automatic optical detector hardware structures, .NET development environment, machine vision, image processing algorithms, AOI software production, have done a certain amount of discussion.