After nearly 40 years of development, a large number of recognition algorithms have been developed in this field, covering a wide range of topics including Pattern Recognition, Image Processing, Computer Vision, Artificial Intelligence, Statistical Learning, Neural Networks, Wavelet Analysis, Subspace Theory and Manifold Learning Subject. Face recognition technology is becoming the next wave of technology in IT industry. Many well-known domestic and foreign enterprises are active in this area, including BAT, Google, Facebook and so on. Face recognition technology, the core technology for the algorithm, so the accuracy of the algorithm to a large extent, represents the technical level of a face recognition. Face recognition + security will set off the next wave of technology, intelligent security now talk about the hot, such as the 2014 Eu to 2.5 billion acquisition of Platinum Information 100% stake, which involved in the face recognition business and intelligent security . China's face recognition technology is in a leading position in the world Face recognition technology is becoming the next wave of technology in IT industry. Many well-known domestic and foreign enterprises are active in this area, including BAT, Google, Facebook and so on. Face recognition technology, the core technology for the algorithm, so the accuracy of the algorithm to a large extent, represents the technical level of a face recognition. According to "2016-2021 China Face Recognition Industry Market Forecast and Investment Strategy Planning Analysis Report" published by Forward Industry Research Institute, at present, in the international authoritative face recognition public evaluation set LFW, the algorithm recognition rate ranks first for domestic security Big UOB shares, the algorithm recognition rate of 99.78%, defeated Baidu, the Middle Ao Sosen technology, Google, Facebook; and the second and third were occupied by Baidu and the Ke Aosen technology, the algorithm recognition rate is 99.77%. LFW algorithm recognition rate of the top three Chinese enterprises swept. The full name of LFW LabeLEDFacesintheWild, a set of open databases maintained by the University ofMassachusetts computer vision laboratory, was originally designed to study the problem of face recognition in unconstrained situations. So far, dozens of teams around the world have submitted more than 80 test results, including Google, Facebook, Microsoft Asia Research Institute, Baidu, Tencent, Shang Tang, Face ++, The Chinese University of Hong Kong and other top industry and academic team. According to the LFW data, the top 10 enterprises with face recognition algorithm recognition rate are as follows: Various ways of capital layout face recognition The huge market prospect in the face recognition industry has brought in all kinds of capital. For example, in 2014, AU Optronics acquired a 100% stake in Platinum Asia Info with a consideration of RMB525 million, thus setting foot in face recognition business and smart security field. In April 2015, Grand Capital Technology Co., Ltd. invested RMB 50 million in intelligent analysis algorithm for face recognition And product research and development from the information technology; October 2015 Cathay Pacific Technology to 200 million acquisition of 51% stake in China's source for the company's face recognition technology in the field of rail applications to lay a channel; February 2016 Far Optoelectronics Intends to 1.02 billion acquisition of 100% stake in Will Technology, cut into the field of biometrics; September 2016 ant clothes gold 70 million acquisition of the United States biological verification company EyeVerify to further deepen its layout in the field of biometric identification. In addition, companies that have acquired some core technologies in the field of face recognition have also been favored by venture capital firms and become chaser of capital. Kuang as science and technology, according to map technology, Shang Tang technology, flying search technology are favored capital. Among them, Face ++ (Beijing Science and Technology) before the establishment of the Legend Star angel financing, the following year Innovative Workshop millions of dollars A round of financing, followed by November 2014 and received 22 million US dollars of round B financing. In addition, it can be seen from the following investment events that although the research on face recognition technology started relatively early, it is still a matter of recent years that a real breakthrough is made and the VC agency is concerned. Face recognition industry market is huge According to the "2016-2021 Analytical Market Forecasting and Investment Strategy Planning for Face Recognition Industry in China 2016-2021" released by Forward Industry Research Institute, in 2009, the global biometric market size was US $ 3.422 billion, of which, face recognition accounted for 11.4% The market size of about 390 million US dollars; by 2015, the global biometric market size of 110.55 billion US dollars, of which face size of about 2.211 billion US dollars, accounting for about 20%. Because face recognition has the characteristics of non-contact, friendly, direct, fast and extensive extension, it has great potential in the fields of security, education, payment, national defense and finance. It is estimated that the market size of face recognition will maintain a 15% Are growing by 2020, the global face recognition market will reach 4.444 billion US dollars. 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September 21, 2024