With the breakthrough of algorithms such as deep learning, the continuous improvement of computing power, and the continuous accumulation of massive data, artificial intelligence has gradually moved from academia to industry. As a rapidly developing branch in the field of artificial intelligence, machine vision is widely used in the identification, detection, measurement, positioning and other scenarios of industrial manufacturing. Compared with the human eye, it has obvious advantages in dimensions such as accuracy and reliability.
With the rapid development of artificial intelligence and machine vision, its application scope has gradually expanded, and the number of enterprises entering the machine vision industry has continued to rise. These enterprises have integrated AI + machine vision technology and gradually penetrated into all aspects of industrial manufacturing to improve production efficiency. and product quality.
The industrial structure is perfect and the market scale is increasing rapidly
In recent years, the technology of machine vision in the fields of industrial inspection, industrial robots, and deep learning has been continuously upgraded, and its application fields have become more and more extensive, and it has continued to promote the growth of demand for machine vision technology in various fields. And with the improvement of my country's supporting infrastructure, as well as the accumulation of technology and funds, the demand for industrial automation and intelligence using image and machine vision technology has begun to appear widely in all walks of life.
From the perspective of the industrial chain, the upstream of machine vision is core components such as light sources, lenses, and cameras, the midstream is vision systems and intelligent vision equipment with acquisition and analysis capabilities, and the downstream is oriented towards 3C electronics, home appliance manufacturing and other manufacturing industries, showing multi-point blossoming situation. From the perspective of downstream application penetration, domestic machine vision has a relatively high penetration rate in the fields of 3C electronics, automobiles, and semiconductors, and its penetration rate in food packaging, pharmaceutical manufacturing, and smart logistics has also shown a continuous growth trend.
According to relevant data, the scale of my country's machine vision market will exceed 20 billion yuan in 2022, and it is expected to reach 39.3 billion yuan by 2025. In addition, the growth rate of China's machine vision market will exceed 45% in 2021, and the industry will compound from 2020 to 2025. The growth rate is expected to reach about 31%. In the future, the machine vision industry will also develop towards trends such as 3D machine vision, deep learning, and deepening of downstream penetration, and gradually open up industrial field applications.
Adhere to industrial AI vision, domestic manufacturers catch up
At present, judging from the competitive landscape of the industry, leading companies in the international market have huge advantages. However, my country's machine vision industry started relatively late, and the machine vision industry is still dominated by small and medium-sized enterprises. According to the Chinese enterprise database, there are currently 7,114 major enterprises in the domestic machine vision industry.
Relying on localized service capabilities, strong non-standard customization capabilities, and cost advantages made in China, domestic manufacturers have achieved rapid domestic substitution in recent years, and have achieved a high localization rate in light sources, industrial cameras and other fields. It is one of the entrepreneurial vision companies, which has achieved a leading share in photovoltaic lithium batteries, 3C electronics, printing and packaging and other subdivided fields.
Deep Eye Technology continues to focus on downstream expansion capabilities, upstream R&D capabilities and general design capabilities. Under the current situation of traditional large customers and crowded large-scene tracks, Shenmo Technology integrates deep learning with traditional machine vision technology, focuses on small-scene tracks, and chooses to apply different technologies according to different scenarios and industrial control.
In addition, Deepmoon Technology cooperates with integrators to give full play to its role in pre-sales, after-sales, implementation and other links, and can help start-up companies solve the Know-how problems of the industry and technology. It solves problems with defects in software, algorithms, technology, etc. At present, Shenmoo Technology and integrators have successfully implemented small scenarios, including pork classification, wood sorting, sheet metal inspection, blade roller coating, etc., and have found opportunities for productization and standardization.
Deep Eye Technology is not limited to a single track, but penetrates into more application fields and achieves an increase in performance scale. At the same time, continue to improve the R&D capabilities of upstream core components, and continue to help the manufacturing industry to "smart" upgrade.