Machine vision is to measure and judge with machines instead of human eyes. Machine vision system refers to that the photographed object is converted into an image signal by machine vision products (that is, image pickup devices, which are divided into cmos and ccd), and transmitted to a special image processing system to obtain morphological information of the photographed object, which is converted into a digital signal according to information such as pixel distribution, brightness and color. The image system performs various operations on these signals, extracts the characteristics of the target, and then controls the action of the field equipment according to the discrimination result.
2. What can machine vision be used for?
Machine vision system can quickly obtain a large amount of information, and it is easy to automatically process and integrate design information and processing control information. Therefore, in the process of modern automatic production, machine vision system is widely used in working condition monitoring, finished product inspection and quality control. The characteristic of machine vision system is to improve the flexibility and automation of production. Machine vision is often used to replace artificial vision in some dangerous working environments that are not suitable for manual operation or occasions where artificial vision cannot meet the requirements; At the same time, in the process of large-scale industrial production, artificial vision inspection of product quality is inefficient and inaccurate, while machine vision inspection method can greatly improve production efficiency and automation. Moreover, machine vision is easy to realize information integration and is the basic technology to realize computer integrated manufacturing.
Machine vision industrial inspection system can be divided into quantitative inspection and qualitative inspection according to its inspection nature and application scope, and each category is divided into different subclasses. Machine vision is very active in various application fields of industrial online inspection, such as: visual inspection of printed circuit board, automatic flaw detection of steel plate surface, measurement of parallelism and verticality of large workpieces, detection of container volume or impurities, automatic identification and classification of mechanical parts, measurement of geometric dimensions, etc. In addition, it can be effectively realized by machine vision system in many occasions where other methods are difficult to detect. The application of machine vision is increasingly replacing people to complete many tasks, which undoubtedly greatly improves the level of production automation and the intelligent level of detection system.