With the advent of Industry 4.0 era, manufacturing enterprises continue to transform and upgrade towards the direction of digitalization and intelligence. Among them, machine vision in the form of visual hardware, visual software system and intelligent visual equipment is widely used in consumer electronics, new display, printing and packaging, new energy and other fields, to become the 'booster' of industrial change.
Machine vision, deep learning, sensor technology, intelligent manufacturing, autonomous driving and many other new words are not unfamiliar in this era of rapid technological progress.
Simply put, machine vision is to use machines instead of human eyes to identify, measure and make judgments on objects. Along with the improvement of advanced manufacturing in our country, the human eyes on the precision and efficiency of industrial production line can not meet the requirements of industry upgrading, to realize higher production efficiency through machine vision in all industries.
Machine vision, which requires the support of AI technologies such as deep learning, is also widely used in intelligent manufacturing and other fields. Looking at a comprehensive technology should not be divided by boundaries. Machine vision is widely used in various industries. With the continuous improvement of the demand for automation and intelligence in various industries, the development of machine vision contains unlimited potential.
Wide range of applications
The downstream applications of machine vision are diverse, such as consumer electronics, semiconductor, agricultural picking, photovoltaic, warehousing and logistics, medical treatment, heavy industry and metal processing. According to GGII statistics, consumer electronics will be the largest application market of machine vision in 2021, accounting for about 31.6% of the total market share.
In the field of consumer electronics, machine vision mainly applies PCB/FPCAOI detection, parts and machine appearance detection, assembly guidance and other applications. In addition, the application penetration rate of machine vision in connector detection, SMT, hard disk detection, online classification and screening of components, two-dimensional code reading and other scenarios is also gradually increasing.
Because of the extensive application of machine vision technology, complex problems in many scenes cannot be solved by a single technology supplier. In machine vision solutions, we often see a combination of multiple supplier technologies, because each supplier or each technical solution has its own advantages, and industry collaboration can open up more areas that have not been involved in machine vision before.
With the application of machine vision technology in more industries, its market scale is gradually increasing. According to the survey, from 2012 to 2021, the sales volume of machine vision devices and systems in China increased from 1.98 billion yuan in 2012 to 16.1 billion yuan in 2021, with a compound growth rate of about 31.7%, and a particularly significant growth rate of 56% in 2021. It is expected that from 2021 to 2025, the market size of China's machine vision industry will grow at a compound growth rate of 21.4%, and will reach 39.3 billion yuan in 2025.
Three trends in the future of machine vision
Trend 1:3D technology will become more mature and pervasive in a large number of applications
The development of 2D vision has coincided with the rise of 3D technology. Judging from the current trend, the development momentum of 3D machine vision is far greater than 2D. Although the current development of industrial machine vision is relatively mature, 3D technology is still in the early stage of development in China. Foreign companies and products take the lead in micro high-precision detection, and occupy most of the market share. Domestic enterprises began to replace foreign enterprises in hardware and software.
Trend 2: Localization becomes the main theme, the competition between Chinese and foreign manufacturers is further intensified, and the market pattern is reconstructed
At present, the replacement rate of machine vision is up to 50%, but it is mostly confined to 2D machine vision field. In the future, with the win-win cooperation of domestic brands, the product function is professional and the type is refined, and the replacement rate will gradually increase. The industry will tend to specialized division of labor, independent vision platform, vision system and equipment will work together, gradually surpass foreign brands, and grow into the main force of China's intelligent manufacturing industry vision.
Trend 3: Integration of fragmented scenes and standardized integrated devices will be the next generation development direction of machine vision
With the gradual expansion of the scale of industrial automation, intelligent manufacturing mode under the product variety, small batch, personalized production. Enterprises began to shift to the production mode of mass customized production, but machine vision technology can only identify and classify a few products in the automated production line, which is difficult to meet the fragmented scene. To solve this problem, integrating fragmented scenarios and building integrated devices will greatly promote the rapid integration of information technology and operational technology. At the same time, creating a digital closed loop of the whole process will also be one of the important measures.
Of course, in addition to the three trends, the development of machine vision is also accompanied by breakthroughs in many industries and into a higher level, and plays an important role in the progress of some industries.
Machine vision technology is a necessary means to realize industrial intelligence. With the rapid development of deep learning, machine learning, 3D technology and machine vision interconnection technology, the intelligent level of machine vision is constantly improving. The application of machine vision technology in the field of industrial intelligence will develop towards a complete intelligent system of intelligent identification, intelligent detection, intelligent measurement and intelligent interconnection, so as to better play its role of high precision and high efficiency. Open the 'eyes of wisdom' for China's intelligent industry.