In recent years, machine vision has gradually penetrated into all aspects of industrial manufacturing and has become the core of industrial automation and intelligence. Both "Made in China 2025" and "Industry 4.0" cannot do without machine vision. Machine vision will be Smart manufacturing opens up a new world.
With the further development and maturity of artificial intelligence, cloud computing, 5G and other technologies, in the industrial chain, more and more manufacturing companies have begun to use machine vision technology in the production process. Machine vision is a device that automatically receives and processes an image of a real object through optical devices and non-contact sensors to obtain the required information or to control the movement of a robot. Compared with traditional artificial vision, machine vision can not only receive, process and judge information, but also has various application advantages in the field of industrial manufacturing.
The application advantages of machine vision significantly accelerate the penetration of industrial production
The application advantages of machine vision are mainly reflected in five aspects: first, it can provide higher performance and quality in inspection, measurement and assembly; second, it can improve the productivity of repetitive tasks, effectively reduce machine downtime and shorten installation time ; The third is that it has greater flexibility in measurement and measurement, and can carry out stricter quality control; the fourth is that it can reduce production costs, detect defects early, and reduce the scrap rate; fifth, it occupies a small area and reduces production costs.
The machine vision system is an operating system designed by machine vision technology, which enables machine equipment to better understand the technical level of the surrounding environment, and uses high-resolution cameras to capture image data of the environment and products to achieve advanced image recognition technology and higher cognition.
In addition, machine vision systems combine advanced hardware devices and software applications to enable machines to observe and respond to external stimuli in a more effective way. With the advantages of high precision, objectivity, repeatability, production cost, and work efficiency, as well as the characteristics of automation and non-contact production, machine vision systems are widely used in all aspects of industrial production.
Image recognition: The machine vision system matches and compares the captured image with the standard image to identify whether it is out of tolerance. At present, this technology is widely used in packaging printing, label printing, commercial printing quality online monitoring and post-press final inspection.
Visual positioning: Machine vision technology has positioning function, which can automatically judge the position of objects, and can also realize real-time and comprehensive visual positioning analysis of high-speed moving industrial products through advanced image visual detection technology.
Defect detection: The machine vision system captures the product image, then transmits the image to the processing unit, and through digital processing, it judges the defect content based on information such as pixels, brightness, and color.
Dimension measurement: The machine vision system has a measurement function, which can automatically measure the appearance size of the product, including the measurement of the outline, aperture, height, area, etc.
Object sorting: The machine vision system captures the product image, analyzes the image, outputs the result, and then puts the corresponding material in a fixed position through an external actuator such as a robot arm, thereby realizing the intelligence, modernization, and automation of industrial production.
The rise of machine vision innovation technology has broad prospects for development
In recent years, the national government has actively promoted the development of the machine vision industry, and promoted the development of the machine vision industry through various policy support. Relevant machine vision companies have increased investment. By increasing R&D investment and introducing high-tech talents, they have comprehensively innovated machine vision technology, and assisted the development of the machine vision industry with 3D vision technology and deep learning algorithms.
The rapid rise of 3D vision and deep learning has provided a huge impetus for the further development of the machine vision industry. The deep learning algorithm complements the application scenarios that cannot be solved by traditional machine vision, and through the self-learning advantages of the artificial neural network, it ensures the deeper application of the machine vision inspection system. And 3D vision technology can also help industrial production to measure height, angle, volume, color and other information. Through data storage and quantitative analysis, optimize and improve the front-end manufacturing process and improve production efficiency.
At present, there is a huge market space for my country's intelligent equipment industry structure and technology improvement, and the market demand for machine vision technology is also increasing. Using machine vision technology to empower the manufacturing industry to produce more efficiently and accelerate the transformation of the industrial structure of the manufacturing industry Upgrade and complete the transition from "Made in China" to "Made in China".