As face recognition technology is becoming mature, market demand will accelerate release, application scenarios are constantly discoveried. From social security to campus access control, from remote pre-credit to security gate inspection, face recognition is constantly opening the market. Face recognition application accelerated popularity, the industry will also show a new development trend.
Face recognition market heat upsurge, the fundamental reason for its application scenarios to get leapfrog development lies in technological innovation. Deep learning improves the accuracy of face recognition to the level of the naked eye and greatly enriches the application scenarios of face recognition. Internet bank remote account opening gang needs to bring face recognition into the financial level application scene; The giant's frequent layout of face recognition gives it a greater imagination space of application scenarios, and cultivates users' "face brushing" habit and recognition of technology, which is conducive to the further development of the industry. The application of face recognition has been developed explosively with the promotion of many parties.
With the rapid development of our social economy, the demand for face recognition technology will be more and more large. In addition, with the in-depth development of domestic safe city and smart city projects, the high definition of urban monitoring is further popularized, and the number of cameras increases on a large scale, which greatly reduces the obstacles in the collection of face recognition data and improves the quality and application field of face recognition. It is expected that the market scale of facial recognition will maintain an average annual growth rate of 25% in the next five years, and the market scale will reach about 6.7 billion yuan by 2022.
First, large-scale face search based on big data is an important direction for the future development of face recognition technology. For example, in the field of public security has entered the era of big data, some traditional technology bottlenecks appear, therefore, the use of face recognition technology to make use of these massive photo data, improve the level of public security information management, is an important direction for the future development of face recognition technology.
Second, deep learning improves the accuracy of face recognition to the level of the naked eye, which greatly expands the application scenarios of 2D face recognition. With the help of the outbreak of Internet finance, it steps into the financial application and is rapidly popularized as the infrastructure. In addition, with the explosive demand for identity authentication in Internet finance and other businesses, third-party authentication service platforms will appear, and the platform profit model based on service provision has huge development space.
Thirdly, with the development of 3D measurement technology, 3D based face recognition algorithm can make up for the loss of effective recognition information caused by 2D projection. It has a good solution to the traditional difficulties of face rotation, occlusion and extreme similarity, and has gradually become another important development route of face recognition technology. With the improvement of 3D face library and the reduction of equipment cost, 3D technology will have a lot of room for development.
Fourth, with the acceleration of urbanization, social stability and city security problems gradually appeared, and face recognition technology is the key technology to achieve a safe and secure city. Therefore, with the large-scale construction of smart cities, the application of face recognition technology will be a new trend in the future.
Fifth, the rapid development of the security industry provides a stage for face recognition applications to play; On the other hand, with the further development of face recognition technology, the security industry has opened up a new market. Analysis believes that intelligent video analysis will be one of the future directions of the security market, and face recognition is a very important technology and application.
Sixth, because of its convenience and security, face recognition technology can be used as access control system and authentication system in smart home, so the integration of smart home and face recognition technology is the key direction of future development. The face recognition system in smart home is built by combining embedded operating system and embedded hardware platform, which strengthens the integration degree of face recognition technology and smart home application, and has the characteristics of new concept and strong practicability.
