In recent years, face recognition has become one of the hottest technologies in the wave of artificial intelligence, and it is entering all walks of life on a large scale.
On November 15 alone, you can see a lot of landing news: Hangzhou Public Security Traffic Police announced that the driving test subject 1 and subject 3 will add a face recognition comparison system to the test room for safe and civilized driving; Tencent Games said that in order to protect the health of minors online The face recognition verification sub-sampling test was also launched from Beijing on the same day; Sun Yat-sen Memorial Hospital of Sun Yat-sen University, the Second Affiliated Hospital of Guangdong Medical University, Guangdong Provincial Hospital of Traditional Chinese Medicine, etc. applied face recognition technology in the medical treatment process to ensure that registered persons "" The integration of witnesses and witnesses†to maintain a fair and orderly medical environment. The face recognition sector has risen sharply, and the face recognition company Jiadu Technology has reached the daily limit...
Shen Hui, Dean of SenseTime Academy of Science and Technology, believes that in terms of "face brushing" technology, my country is currently at the forefront in terms of application and implementation, and the underlying technology is also accelerating.
A variety of factors promote the application of face recognition
Why does the application of face recognition technology show such a rapid development momentum?
Technical factors bear the brunt. At present, the technical accuracy of mainstream face recognition companies on the market can generally reach more than 95%, and the speed of accurate face recognition is also very fast.
In addition to the fundamental factor of technology, favorable policies have also paved the way for the further development and application of face recognition. Since the "Guiding Opinions on the Remote Opening of RMB Accounts by Banking Financial Institutions (Draft for Comment)" in 2015 opened the door to the popularization of face recognition, relevant policies have been introduced intensively, and face recognition technology has gradually been used in smart cities and smart transportation. , public safety and other industries on a large scale. Airports, stations, large shopping malls and other high-traffic places, security, public safety, automatic access control systems, ID card recognition, bank ATM cash machines, and home security all have greater demand for face recognition. In fact, these places have Begin to use face recognition technology on a large scale.
Facial Recognition Related Policies
Under the dual stimulus of policy and demand, capital began to target the face recognition industry. In addition to BAT's competition for layout, vertical companies are also gaining favor. At present, the four unicorns, Yitu, Megvii, SenseTime, and Yuncong, have completed the Duolun "financing" competition, with their valuations exceeding 10 billion yuan.
Relevant personnel training has also received more and more attention. In 2018, the Ministry of Education issued the "Artificial Intelligence Innovation Plan for Colleges and Universities", proposing the goal of "improving the talent training system in the field of artificial intelligence". In the first batch of 612 "new engineering" research and practice projects in 2018, 57 artificial intelligence projects were built. Many well-known universities such as Qingbei Fujiao and Zhejiang have set up secondary or interdisciplinary subjects in the field of AI. According to the global distribution map of scholars in the field of face recognition drawn by AMiner, China ranks third after the United States and Britain, occupying a place in this field. In addition, industry insiders believe that the upcoming 5G era will also bring new development opportunities to the face industry.
Facial recognition brings market opportunities to multiple industries
Face recognition not only provides various conveniences for people's lives, but also means greater market opportunities and growth space for the industry. Taking the security industry as an example, at the just past 2018 Beijing Security Expo, this technology has almost become the standard for all exhibitors, covering video surveillance, access control attendance, identity verification and other fields, which is one of the thrusts of security entering a new stage. In addition, projects such as smart cities and intelligent transportation also rely on face recognition technology. At present, face recognition has become a "conspicuous science".
Conclusion: Face recognition technology has made great achievements, and will further penetrate into various fields in the future. However, the current mainstream face recognition is for lightweight face image databases, and for the upcoming large-scale applications, it still needs to be carried out. Technological upgrades need to focus on deep learning-based face recognition technology. In addition, in the process of project landing, how to combine with other technologies, how to model efficiently, and how to normalize different front-end images are all issues worth thinking about.
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