2021 face recognition Industry Report From Wisdom bud & Roth consulting
The following is the 2021 face recognition Industry Report From Wisdom bud & Roth consulting recommended by recordtrend.com. And this article belongs to the classification: artificial intelligence, Life data, research report.
Face recognition is a biometric recognition technology based on human face feature information. With the continuous breakthroughs in the fields of deep learning, big data and cloud computing, face recognition has also achieved rapid development, and the market potential has been continuously released. The global face recognition market penetration is rising rapidly, and the industry is entering the fast lane of growth. In 2020, the global market scale has exceeded US $3.8 billion; The compound annual growth rate of the Chinese market exceeds the global average and is expected to become the world’s largest face recognition market. With the favorable domestic policy environment and the hot application market, the number of patent applications related to the industry has also quickly overtaken that of the United States and Japan; Nowadays, China has become the country with the most patent applications in the field of face recognition.
The report is summarized as follows:
The technology of face recognition industry is relatively mature, which has basically realized from academic research to industrial practice. At present, it has been commercialized and popularized on a large scale. Domestic enterprises have a large number of layout in the middle and lower reaches, and try to break through the monopoly and restriction of overseas enterprises in the fields of upstream high-end chips.
From the technology germination in the 1960s to the large-scale commercial in the past decade, the industry has a fairly mature technology accumulation and underlying algorithm foundation relying on the rapid development of deep learning, computer vision, big data, chips and other technologies.
The development of face recognition industry in foreign countries started early and occupied certain advantages in AI chips, deep learning algorithms and data sets. The development of domestic industry was relatively late. However, in recent years, relying on the east wind vigorously promoted by policy support and Internet of things payment, the overall innovation and development of the industry was promoted from the downstream application layer, and the overall innovation and development of the industry was surpassed from the degree of commercialization to the layout of patents. With the hottest applications in the security and financial fields and relatively saturated market, 3D face recognition and living detection technology lead a new round of innovation in the industry.
Face recognition technology has been applied in many fields, among which it is most widely used in security and finance. Hikvision and Kuangshi have actively cooperated with public security departments and retail enterprises to subvert the traditional criminal investigation and retail scene through their own technology.
While the downstream application market is booming, the complex environmental changes, facial occlusion and data forgery in actual use also pose challenges to the security of face recognition. 3D recognition and living detection, as key technologies and cutting-edge directions, add vitality to the innovation of the industry. Personal privacy leakage has become an important hidden danger in the development of the industry. At the same time, the risk of patent litigation in the U.S. market is high, and some NPES wait for the opportunity.
As a unique personal biological information, facial features not only facilitate identity authentication, but also privacy disclosure, information abuse, fairness and other issues have become hidden thunder points under the appearance of the vigorous development of the industry, which has directly led to the suspension or even withdrawal of foreign industry giants such as Microsoft, IBM and Amazon from market competition, sounding an alarm for relevant domestic enterprises, The government needs to issue relevant standards, laws and regulations to further restrict and promote the healthy development of the industry.
The difficulty of obtaining evidence has always been an obstacle to litigation in the field of algorithm software, but it is not without risk in the face recognition industry. Looking at the global patent litigation in the industry, the U.S. market has the highest risk, the NPE in the industry is more aggressive, and the litigation events in the security field occur the most.
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