Machine vision will set off a new storm in the smart realm

With the outbreak of artificial intelligence, machine vision, as one of the representative technologies, is expected to usher in greater development, setting off a new storm in the areas of unmanned shops, autonomous driving, and robotics.

Today's machine vision technology has infiltrated our daily life, from facial recognition features of mobile phones, classification of face albums, to Alipay facial recognition authentication, locker face recognition, and accurate capture of industrial robots on objects. Take, logistics robot obstacle avoidance and so on are all using computer vision technology.

Machine vision is a branch of artificial intelligence that is rapidly developing. Simply put, machine vision is the use of machines instead of the human eye to make measurements and judgments. The machine vision system converts the captured target into an image signal through a machine vision product (ie, an image capture device) and transmits it to a dedicated image processing system to obtain the morphological information of the captured target. The information is transformed according to pixel distribution, brightness, color, and other information. Digital signal.

Machine vision technology is a combination of software and hardware. The main components include cameras, cameras, image sensors, visual processing and communications equipment. A complete system can capture images of arbitrary objects and analyze them based on different parameters of quality and safety.

With the artificial intelligence industry heating up, the machine vision industry is expected to move toward a new stage of development, and the market scale will accelerate its expansion. According to the prospective industry research institute "China's machine vision industry development prospects and investment analysis report" data, in recent years, the global machine vision industry is developing rapidly, in 2015, the global machine vision system and component market size has reached 4.2 billion US dollars, is expected to market in 2018 The scale will exceed 5 billion U.S. dollars.

In the automated production process, machine vision systems are often widely used in the fields of condition monitoring, product inspection, and quality control. At present, 2/3 of the mid-market of machine vision products is occupied by electronic manufacturing, automobile manufacturing, and municipal transportation industries. The remaining market share includes the demand of food, packaging machinery, and printing industries, and the demand for machine vision products in these industries is still increasing substantially. .

From the perspective of industry applications, the electronics manufacturing industry is still the main factor that drives demand. However, from the perspective of future development, the level of automation in food and packaging machinery industries will further increase, and the demand for machine vision products is worth looking forward to.

With the rapid disappearance of China’s demographic dividend, many companies will face further challenges such as higher labor costs, lower production efficiency, shrinking profit margins, slow change of innovative ideas, and uncertain prospects. The industry urgently needs to find new growth engines.

Although there are three major driving factors in the development of the machine vision industry, one is the wide application demand space, the second is the cost savings promotion, and the third is technology-driven.

However, at present, global users do not have a matching understanding of the rapid development of visual technology, and the development of the industry will inevitably face challenges. Currently, the main obstacles to the application of machine vision products in the Chinese market are: budget constraints, difficulty in use, project implementation resource constraints, operator acceptance, visual technology awareness, and insufficient priority relative to other automation projects.

In fact, machine vision technology is very reliable in solving complex industrial tasks. Moreover, industrial machine vision systems are more robust and have higher stability and accuracy than ordinary vision systems used in various institutions or educational venues. The media expects that these factors will make the technology more adaptable in the industrial sector. In addition, due to the use of machine vision systems in the industrial field, more and more other technologies are also seeking to merge with them, thereby strengthening the vigorous development of the machine vision technology market.

The development of machine vision technology can be described as mixed. On the one hand, it is a powerful three driving forces. On the other hand, it is a “stumbling block” that development must face. For enterprises that have been deeply cultivating this industry, opportunities and challenges coexist. Whether you can base yourself on this field, companies still have to work hard.