Machine vision can be said to be the window of the soul of industrial intelligent control equipment. From object/bar code identification, product detection, appearance size measurement to mechanical arm/transmission equipment positioning, it is the stage of machine vision technology. With the progress of microprocessor and semiconductor technology, as well as the rising cost of labor and the demand for high-quality products, the application of machine vision in the field of industrial control continues to deepen and the market size continues to expand. Let's take a look at the basic connotation of machine vision, industry development status and future trends.

What is machine vision

The principle of machine vision system is computer or image processor and related equipment to simulate human eyes, extract information from the image of objective things for processing, obtain relevant visual information, and to understand, and finally used in the actual detection and control and other fields. Machine vision is a technology that converts images into digital signals for analysis and processing, involving artificial intelligence, computer science, image processing, pattern recognition and many other fields.

Machine vision enables the machine to have the visual function like a person, which can better realize various detection, measurement, recognition and judgment functions. With the continuous improvement of all kinds of technology, the downstream application field of machine vision is also expanding. From the beginning, it is mainly used for electronic assembly detection, and has developed to more and more extensive industrial application fields such as identification, detection, measurement and manipulator positioning. Fast speed, large amount of information and more functions have increasingly become the main characteristics of machine vision technology.

Compared with human vision, the advantages of machine vision are extremely obvious. For example, machine vision can be high-speed online detection in a variety of harsh environments, but also can work for a long time without interruption.

So in which fields has machine vision been applied

Because machine vision can quickly obtain a lot of information, and easy to automatically process, people gradually machine vision system is widely used in the astronomy industry, medicine industry, transportation and navigation industry and military industry.

In foreign countries, the application of machine vision is quite popular, mainly concentrated in electronics, automobile, metallurgy, food and beverage, parts assembly and manufacturing and other industries. Machine vision system has been widely used in various aspects of quality inspection.

Machine vision products have just started, and are currently mainly concentrated in pharmaceutical, printing, packaging, food and beverage industries.

With the rapid development of the domestic manufacturing industry, the most requirements for product testing and quality continue to improve, all walks of life for image and machine vision technology of industrial automatic demand will be more and more large, so machine vision in the future manufacturing industry will have a lot of space for development.

In the industrial field, industrial robots accurately grasp objects, logistics robots obstacle avoidance and so on are the use of machine vision technology. Machine vision is an important branch of artificial intelligence that is developing rapidly. With the explosion of artificial intelligence, machine vision, one of the representative technologies, is expected to see greater development in smart factories, unmanned stores, autonomous driving, and robots.

Robots WORKING in AUTOMATED production LINES, product inspection, automatic assembly line production and assembly, automatic welding, PCB PCB inspection and various dangerous situations. The use of image and vision technology in production automation can accelerate the production speed, ensure the consistency of quality, but also can avoid human fatigue, inattention and other misjudgment.

In all kinds of inspection and monitoring applications. Label text mark checking, postal automation, computer aided surgery. Micromedical operation, AUTOMATIC MONITORING AND FILTERING OF DATA stream in petroleum, coal mine and other drilling, automatic color separation and matching in textile, printing and dyeing industry. Important place porch automatic patrol, automatic tracking alarm, etc.

In visual navigation applications. Cruise missile guidance, unmanned aircraft flight, autonomous vehicles, mobile robots, precision guidance and automatic cruise target acquisition and determination of distance. It can not only avoid human involvement and the resulting danger, but also improve accuracy and speed.

Automatic image interpretation application. Automatic interpretation of radiological images, microscopic images, medical images, remote sensing multi-band images, synthetic aperture radar images, aerospace and aerial images, etc. Due to the development of technology in recent years, the types and quantities of images are increasing rapidly. Automatic image understanding has become an important means to solve the problem of information inflation.

In human-computer interaction applications. Face recognition, intelligent agent, etc. At the same time, the computer can understand people's wishes and requirements with the help of human gestures, lip movements, trunk movements, expression determination and so on, which is not only in line with human habits, but also can increase the convenience of interaction and the sense of presence.

In virtual reality applications. Aircraft pilot training, medical surgery simulation, scene modeling, battlefield environment representation, etc., it can help people go beyond human physiological limits, improve work efficiency.

In surveillance camera with machine vision. As a representative application of machine vision, video surveillance system with camera as the core is widely used in security, traffic, building, industry and other industries. With the increasing application of digital technology in video surveillance system, the performance of the system is greatly improved, and its application scope is also expanded.