Gester Instruments | Professional Textile, Footwear and PPE Testing Equipments Manufacturers Since 1997
The market size is over 10 billion, and machine vision welcomes the development and growth period
With the widespread emergence of industrial automation and intelligent needs using image and machine vision technology in all walks of life in my country, machine vision has gradually begun to be applied in industrial sites. Machine vision is a comprehensive technology, including image processing, mechanical engineering technology, control, electric light source lighting, optical imaging, sensors, analog and digital video technology, computer software and hardware technology. A typical machine vision application system includes image capture, light source system, image digitization module, digital image processing module, intelligent judgment decision module and mechanical control execution module. As an important branch of artificial intelligence technology development, machine vision is a technology that receives and processes images of real objects through image sensors to obtain required information or control the movement of robots. Simply put, it is to use machines instead of human eyes to make measurements and judgments. Its main function is to use machines to replace human eyes for measurement and judgment, to apply image processing to the field of industrial automation, to perform non-contact detection and measurement of objects, to improve processing accuracy, to find product defects, and to make automatic analysis and decision-making. It is an advanced manufacturing industry. important parts of. In addition, the most basic feature of machine vision system is to improve the flexibility and automation of production. Compared with human vision, machine vision has obvious advantages in accuracy, speed, adaptability, objectivity, repeatability, reliability, efficiency, and information integration. From the perspective of specific parameters, machine inspection has obvious advantages over artificial vision inspection: machine vision inspection has higher efficiency, faster speed, higher precision, and better reliability than artificial vision inspection. Using machine vision inspection methods can greatly improve the efficiency and automation of production. Therefore, in some respects, machine vision can replace the human eye and perform better work. At the same time, with the continuous development of deep learning, 3D vision technology, high-precision imaging technology and machine vision interconnection technology, the performance advantages of machine vision will be further increased, and the development prospects are promising. The development process of global machine vision It is reported that machine vision originated in the 1950s, and Gilson proposed“light flow”This concept, and the development of a pixel-by-pixel computing model based on related statistical models, marks the development of 2D image statistical models. Domestic machine vision started late, and the first batch of technologies were introduced in the 1980s. In detail, in 1950, the concept of machine vision was proposed, based on statistical pattern recognition; in 1960, the field of research emerged, and the world of building blocks was studied; in 1970, the theory of machine vision was updated and started to teach; Emerging, machine vision is booming; in 1990, machine vision companies were established, and industrialization was formed; in 2000, the machine vision industry grew rapidly, and multinational companies set up branches around the world; Competitive landscape is formed. With the transfer of the global manufacturing center to my country, China is currently the third largest application market in the field of machine vision after the United States and Japan. With the rise of a new round of global technological revolution, the machine vision industry has ushered in a period of rapid growth. From 2016 to 2019, the scale of the global machine vision market continued to expand, and by 2019, it exceeded 10 billion US dollars and reached 10.2 billion US dollars. The machine vision market scale exceeds 10 billion In recent years, the quality and cost of labor in China have gradually increased, and enterprises have continued to try to transform, gradually eliminating outdated production methods, and the production methods of enterprises have become increasingly intelligent. Compared with artificial visual inspection, machine vision inspection has the advantages of high efficiency, high precision, stable and reliable inspection effect, and convenient information integration, and its development prospects are worth looking forward to. Data shows that in 2019, the sales of China's machine vision industry exceeded 10 billion yuan, reaching 10.3 billion yuan, with a growth rate of more than 20%, welcoming the development and growth period. With the rapid development of technology, the downstream application fields of machine vision continue to expand. It is reported that machine vision is widely used in semiconductors, robots, automobile manufacturing, pharmaceuticals, food packaging, electronics and many other fields, and is generally welcomed by the market. In my country, although the development of the machine vision industry is short-lived, the development speed is relatively fast. With the popularization and deepening of automation, my country's machine vision industry has ushered in strong development opportunities and is becoming one of the more active areas in the world for machine vision development. , It is estimated that by 2025, the scale of my country's machine vision market will reach 24.6 billion yuan, and related companies can focus on layout. As we all know, machine vision is one of the important frontier branches in the field of artificial intelligence. With the widespread emergence of industrial automation and intelligent demand for image and machine vision technology in all walks of life in my country, machine vision has gradually begun to be applied in industrial sites, and the market size It will further expand and usher in a period of rapid growth.
Ball Burst Method (ASTM D3787): Steel ball penetration for textiles/films using testers like GT-C02-2.
Hydraulic Method (ISO 13938.1): Fluid pressure on rubber diaphragm for industrial fabrics via GT-C12A.
Pneumatic Method (ISO 13938.2): Compressed air for breathable materials tested with GT-C12B.
Results are influenced by raw materials, yarn properties,
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