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    Home > Chemicals Industry > China Chemical > Hundreds of billions of track is worth looking forward to, computer vision opportunities and challenges coexist

    Hundreds of billions of track is worth looking forward to, computer vision opportunities and challenges coexist

    • Last Update: 2021-12-30
    • Source: Internet
    • Author: User
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    [ Focus on Chemical Machinery Equipment Network ] With the further development of computer vision, technological updates will promote the further growth of the industry scale.
    It is estimated that by 2025, the scale of China’s technology and vision core products and related industries driven by it will reach 600 billion, and computer vision will reach thousands of The billion-level track is worth looking forward to, with opportunities and challenges coexisting
    .

     
    Chemical machinery and equipment network hotspots pay attention to chemical machinery and equipment
    The so-called computer vision is a science that studies how to make machines "see".
    In other words, it refers to the use of cameras and computers instead of human eyes to recognize, track, and measure machine vision for targets, and then perform graphics processing to make computers process Become more suitable for human eyes to observe or transmit to the instrument to detect the image
    .
    Computer vision systems need image signals, image processing, image analysis, texture and color modeling, geometric processing and reasoning, and object modeling to get the final result
    .

     

    In recent years, with the rapid development and in-depth application of advanced technologies such as computer graphics, computer vision pattern recognition and the Internet, computer vision systems have gradually been widely used in all walks of life
    .

     

    The future market of computer vision is broad
     

      According to data, computer vision was initially developed in the 1950s and 1960s and to the end of the 20th century, related theories, software and hardware, etc.
    , have been initially developed, and they have begun to be applied in industrial environments
    .
    Since the 21st century, relying on artificial intelligence deep learning algorithms, algorithms for efficiently solving complex global optimization problems have been greatly developed, and computer vision technology has entered a stage of rapid development
    .

     

      In foreign countries, the application of computer vision systems is very popular, mainly in industries such as food and beverage, automobiles, electronics, metallurgy, spare parts assembly and manufacturing
    .
    Throughout the country, the application of computer vision technology began in the 1990s, and machine vision system products have just started.
    At present, they are mainly concentrated in the food and beverage, packaging, color sorting, quality inspection, pharmaceutical, and printing industries
    .

     

      At present, computer vision has become one of the key technologies that have made major breakthroughs in artificial intelligence and has relatively clear application scenarios.
    It occupies an important position in artificial intelligence.
    The future market space is broad and policies are also supporting the development of the computer vision industry
    .

     

      Policy supports computer vision to welcome opportunities
     

      In recent years, the computer vision industry has received great attention from governments at all levels and key support from national industrial policies
    .
    The country has successively issued a number of policies to support the development of the computer vision industry
    .

     

      For example: "Guidelines for the Construction of National New Generation Artificial Intelligence Standard System", "The Fourteenth Five-Year Plan for National Economic and Social Development of the People's Republic of China and the Outline of Long-Term Goals for 2035", and "About Expanding Investment in Strategic Emerging Industries, Cultivating and Growing New Growth Points Policies such as “Extremely Guiding Opinions” and “Strengthening the “From 0 to 1” Basic Research Work Plan” provide a sound development environment for the healthy development of the computer vision industry
    .

     

      With the further development of computer vision, technological updates will promote the further growth of the industry scale.
    On the other hand, the deepening of the integration of computer vision and industry will also expand the scale of related industries
    .
    It is estimated that by 2025, the scale of China's technology and vision core products and related industries driven by them will reach 600 billion
    .

     

      Computer vision is worth looking forward to, and while computer vision is facing opportunities, it is also facing challenges
    .

     

      What are the challenges of computer vision development?
     

      First of all, the ethical aspect of artificial intelligence.
    The application of computer vision in various scenarios involves ethical issues that arise in all decision-making links, such as privacy issues, artificial intelligence responsibility and decision-making authorization, transparency and bias
    .

     

      Secondly, data security and privacy are still the main concerns of many computer vision software companies
    .
    Because training artificial intelligence models requires a large amount of input data, and the reasoning of artificial intelligence models generally involves processing real-world data, organizations and individuals are increasingly concerned about the security and privacy of the data provided to and processed by computer vision software companies
    .

     

      Therefore, if computer vision wants to develop, it must face these two problems.
    As long as these two problems are solved correspondingly, the 100-billion-level track is waiting, and the development prospects are promising.
    Related companies can focus on the layout
    .

     

      Original title: 100 billion class track is worth looking forward to.
    Computer vision opportunities and challenges coexist
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