Machine vision is a branch of artificial intelligence that is developing rapidly. In short, machine vision is to use machines instead of human eyes to measure and judge. The machine vision system converts the captured target into an image signal through the machine vision product (i.e., image capturing device, including CMOS and CCD camera) and transmits it to a special image processing system to obtain the shape information of the captured target, and converts it into a digital signal according to the pixel distribution, brightness, color and other information; The image system carries out various operations on these signals to extract the characteristics of the target, and then controls the equipment action on the site according to the discrimination results
With the advent of the industrial era, machine vision plays an increasingly important role in the field of intelligent manufacturing. It is widely used in industrial production and manufacturing fields such as production manufacturing inspection to ensure product quality, control production processes, and perceive the environment. It is also the core component of integrated automation solutions.
The machine vision system converts the captured target into an image signal and transmits it to a special image processing system, and converts it into a digital signal according to the pixel distribution, brightness, color and other information;
The image system carries out various operations on these signals to extract the characteristics of the target, and then controls the on-site equipment actions according to the results of the discrimination.
Machine vision is a systematic application that uses machines to replace human eyes for measurement and judgment.
Simply understand machine vision. At the beginning, it is a technology that replaces human vision in the industrial production process to automatically detect the appearance features of products (100% full inspection).
For example: shape recognition; Color identification; High precision dimension measurement; Positioning/position measurement; Surface defect detection; Character recognition OCR/OCV; 1D/2D Code identification, etc.
The pursuit of products with zero defects, high quality and added value has become the core of enterprises to cope with competition. In order to win the competition, reliable quality control is indispensable.
Due to the acceleration of the production process, the high integration of product technology, the reduction of volume and the improvement of manufacturing accuracy, the human eye has been unable to meet the inspection needs of many enterprises' appearance quality control.
Machine vision replaces human vision to automatically detect the appearance features of products and realize 100% online full inspection, which has become the main trend to solve the problem of mass, high-speed and high-precision product inspection for manufacturers in various industries.
Recently, the development of machine vision technology in industrial automation has been continuously updated and iterated, making its position in intelligent manufacturing increasingly prominent, promoting the progress of industrial automation, artificial intelligence, intelligent manufacturing and other industries, and bringing more powerful development impetus to all fields.
1) Basic original technology;
2) Development of software and hardware components or subsystems;
3) System integrators or solution providers, agents and retailers that provide solutions and derive a series of emerging industries;
4) OEM equipment and complete machine developers;
5) Peripheral technology partners;
6) Associations, media and government agencies;
7) End users;
8) Training, consulting, installation and maintenance and other machine vision service providers.
Machine vision industry chain
The application of machine vision has popularized the production of all walks of life. In the online production of a large number of industries, due to a lot of irreversible chemical reactions, or the whole-process monitoring and tracing required by modern quality management, the dependence on machine vision technology is becoming deeper and deeper. Common and inevitable industries are as follows.
1) Electronics/semiconductors: LCD, keyboard, connector, anal battery, printed circuit board PCB, integrated circuit IC, chip, machine vision LED, photovoltaic, etc
Integrated circuit
2) Automobile: parts detection, assembly, robot guidance, 2D code interpretation, etc;
3) Textile/plastic: cloth inspection, injection molding machine, mold monitoring, etc;
4) Medical treatment/medicine: liquid drugs, syringes, packaging, etc;
5) Hardware: stamping, precision hardware, hardware shell, etc;
stamping