Machine vision defect detection system using C camera equipment will be detected by the target is converted into image signals, transmitted to the special image processing system, according to the pixel distribution and brightness, color and other information, into digital signals, image processing system on these signals to carry out a variety of operations to extract the classification of the target features, such as the area, the number of locations, length, and then according to the preset allowances and other conditions output results, including size, angle, and then the output results of the target, including size, angle, and other conditions. Then output the results according to the preset allowances and other conditions, including size, angle, number, qualified/unqualified, yes/no, etc., to realize the automatic identification function.
With the help of image processing and computers and other automation equipment, machine vision is actually far beyond the limits of human beings, so its advantages are also very obvious, including high efficiency, high precision, high automation, and can be well adapted to the poorer environment. So in some dangerous working environments that are not suitable for manual work, or in occasions where our human vision can hardly meet the requirements, machine vision can be used to replace manual vision. In this kind of detection, measurement, identification and localization and other functions, machine vision is even better able to perform. In addition to these, it can also improve production efficiency and the degree of automation, the realization of information integration, so widely used in the industrial field, is a very important foundation for intelligent manufacturing.