Computer vision breaks through the industrial red line, and the future of the six major segments is good.

Computer vision is one of the most promising fields in artificial intelligence, with a projected market size of $72.5 billion by 2020. Recent studies highlight six major segments that are expected to drive growth and innovation in this space. Over the past few years, China's computer vision industry has experienced rapid development, especially after 2016 when breakthroughs in technologies like 1:N face recognition and video structuring began to make an impact in real-world security applications. These advancements marked the beginning of a significant expansion in the computer vision market. In the second half of 2017, several leading companies in the field raised hundreds of millions in funding, further solidifying computer vision as a top priority in AI research and development. A recent report from iResearch, titled "2017 Computer Vision Industry Research Report," outlines the wide range of applications for computer vision across multiple industries. First, in the security sector, computer vision plays a critical role in image analysis and facial recognition. Surveillance systems at locations such as roads, stations, subways, and airports use intelligent video analysis to compare faces in real-time footage with those in a blacklist database, triggering alarms when matches are found. Second, in the financial sector, identity authentication is a key application. Unlike the 1:N face recognition used in security, the pan-financial industry primarily uses 1:1 facial verification, though some scenarios, such as VIP customer identification in banks, also involve 1:N recognition. Third, in mobile and internet entertainment, computer vision enhances user experiences. Many smartphone manufacturers introduced models with facial unlocking features, while photo editing and album management have become more intelligent over time. Fourth, in commodity identification, computer vision helps bridge the gap between people and products. By analyzing images, it improves efficiency in areas like e-commerce, supply chain management, and retail operations. Fifth, in advertising, computer vision enables smarter content-based ads on platforms like video streaming and live broadcasts. It allows for interactive and context-aware advertisements using mobile cameras and AR technology. Lastly, in autonomous driving, computer vision supports perception and mapping, playing a vital role in understanding the environment and making navigation decisions. Beyond these sectors, medical imaging, industrial manufacturing, and retail are also seeing growing adoption of computer vision. The iResearch report predicts that the Chinese computer vision market reached around 4 billion yuan in 2017, and with continued growth in security and other sectors, it is expected to reach 72.5 billion yuan by 2020. With its vast potential, the future of computer vision looks incredibly promising.

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