Multi-dimension penetration of machine vision "The development of smart factories is more powerful"

Today, machine vision technology is not only successfully used in many fields, but also the scope of application is gradually expanding. It has developed from the original electronics manufacturing and semiconductor manufacturing enterprises to multiple industries such as packaging, automotive, transportation and printing.

       Today's machine vision technology has penetrated into our daily lives, from the beauty app face recognition function and face album classification in mobile phones to Alipay facial recognition authentication, locker face recognition, and industrial robots to accurately grasp objects Taking, obstacle avoidance of logistics robots, etc. all use computer vision technology.

       According to a report by Business Wire from Dublin on June 22, the global machine vision market is in rapid development and is expected to have a market value of more than 19.2 billion U.S. dollars by the end of 2025. Today, machine vision technology is not only successfully used in many fields, but also the scope of application is gradually expanding. It has developed from the original electronics manufacturing and semiconductor manufacturing enterprises to multiple industries such as packaging, automotive, transportation and printing.

       The machine vision system is characterized by increasing the flexibility and automation of production. It is used in some dangerous working environments or places where artificial vision is difficult to meet the requirements. In addition, in large-scale industrial production processes, machine vision inspection can greatly improve production efficiency and production automation.

       As the cost of machine vision is gradually reduced, with more solutions, more powerful hardware, and smarter algorithms, coupled with the Internet of Things connecting all devices, machine vision will become an excellent data collection tool.

       Image processing equipment has completed the process of capturing, collecting, and exchanging data. In the process of interconnected production, these data can be transmitted to the value chain, triggering more intelligent behavior. For example, inspect the wear status of production equipment, maintain factory facilities, and remind managers to order production parts in advance. In the future, the size of each component of the vision system equipment will become smaller, and the speed, accuracy and resolution will be significantly improved, so the penetration rate will also increase sharply within a few years.

       Although the network system is the foundation of the future intelligent factory, the success or failure depends on the data collection, processing and analysis capabilities, and machine vision can come in handy. Machine vision can quickly capture large amounts of information and process it automatically. Therefore, in the automated production process, people usually use the machine vision system widely in the fields of working condition monitoring, finished product inspection and quality control.

       IHS predicts that industrial mobile applications will quadruple to $ 200 million in 2019, including monitoring and visualization with mobile phones and tablets, managing workflows, maintaining tools and integrating systems. No matter where they are, managers can monitor the image of the machine vision system from smart phones, and then respond quickly according to the notifications of applications and software.

       Smart factories will be the mega trend of future development. If machines inside a smart factory use self-optimization, self-setting, and artificial intelligence (AI) to complete complex tasks, it will be cost-effective and the quality of products and services will be improved.

       Moreover, once used, machine vision technology will become the core of the smart factory. Its characteristics based on the communication network and intelligent information organization network will make it the "eye" of the factory, allowing robots to flexibly control the production process, thereby reducing Loss from human error.

       The machine vision industry will also gradually integrate with embedded computer vision (ECV). As the industrial environment acquires low-cost embedded image processors, new integrated automation solutions are expected, such as a robotic arm equipped with multiple embedded imagers.

       At present, the first few machine vision interfaces on the market are CameraLink, CameraLinkHS, CoaXPress, GigEVision, and USB3Vision. GenICam provides a general program interface for all cameras, regardless of hardware interface technology.

       However, with the further development of machine vision software, the technical requirements are getting higher and higher. At present, machine vision systems on the market have been difficult to meet the needs of the industry due to the difficulties of development, use, and sales.

       At present, global users still lack the matching cognition to the rapid development of visual technology, and the development of the industry is bound to face challenges. In addition, the integrated circuits that the system relies on are quite complex and a problem for manufacturers, which also limits the market to achieve more stable growth. Of course, there is also a promising side. The growing manufacturing industry in the Asia-Pacific region is paying more and more attention to research activities related to machine vision. The investment expenditure is expected to stimulate the technology's growth in the Asia-Pacific market, and then promote the occurrence of global market components. Variety. As for the application of machine vision in the field of robotics, whether it is a yellow flower or a fleeting one tomorrow, it is worth our expectation.