Face recognition self-service terminals are very useful, including retail, catering, and ticketing scenarios!
Face recognition self-service terminal, that is, the face recognition system is embedded in self-service equipment or portable mobile terminal, and the photos collected on the spot are compared with the saved photos and ID photos and provide the face similarity value by using face recognition technology. The staff can judge whether to directly pass or conduct manual review based on the similarity value.
Data shows that from 2010 to 2018, the average annual compound growth rate of the market size of my country's face recognition industry reached 30.7%. In 2018, the market size of my country's face recognition industry was 2.51 billion yuan, and it is expected that the market size will exceed 10 billion yuan by 2024.
At present, the top face recognition companies in my country are mainly entrepreneurial companies specializing in the development and application of face recognition technology, such as Megvii Technology and SenseTime Technology, and established brands such as Obit, Hikvision, Dahua Co., Ltd., and Sichuan University Zhisheng. Of security and listed companies, as well as Internet giants such as Tencent, Alibaba, and Baidu, entered the field of face recognition in the form of investment or their own R&D teams.
In 2019, with the help of China's breakthroughs in the technical and basic layers of artificial intelligence technology and China's relatively stable Internet business foundation, artificial intelligence represented by face recognition technology will usher in a large-scale application stage: Tencent, UnionPay, and Alipay. Payment giants are accelerating the penetration of facial payment in terminals, and communities, universities, and public places have successively launched facial recognition systems.
Take unmanned convenience stores as an example. After the introduction of face recognition payment cash registers, consumers can quickly and efficiently complete face payments. In addition to facial recognition for payment, it can also be used for passenger flow statistics, user portrait depiction, and analysis of passenger flow gatherings and hot spots. Accordingly, the staff can adjust the layout of the merchandise display and marketing strategy in time.
In general, the face recognition self-service cash register can be used in retail scenes such as supermarkets, restaurants, and ticketing scenes to realize functions such as self-service settlement and advertising rotation. It supports multiple payment methods such as QR code payment and face payment. Taking the station ticketing scene as an example, we can understand the application advantages of face recognition self-service cashier terminals.
Offline self-service ticket purchase, a face recognition self-service cashier terminal is added on the basis of manual ticket sales at the window, which can provide passengers with a variety of ticketing methods and relieve the pressure of manual cashier. Passengers purchase tickets through smart terminals and compare them with ID card information through on-site "face-swiping" to ensure that the identification is integrated, and the payment can be made after successful identification. Payment methods can be mobile payment methods such as scan code payment and face-swiping payment. After completing the ticket purchase, the ticket can be printed immediately or the electronic information of the ticket can be sent to the public account of the passenger's attention, making offline ticket purchase more convenient.
Of course, the upgrade of software and hardware, the improvement of algorithms and computing power, and the continuous advancement of face recognition technology in the development process have enabled the wide application of face recognition self-service terminals, and the vast market space has yet to be further explored. It is worth noting that with the application of 5G technology, 3D face recognition algorithms also have more room for imagination in breakthrough application scenarios such as AR and 3D somatosensory games. The arrival of 5G has injected new impetus into 3D vision applications such as AR somatosensory games and 3D animated expressions in the video social field.
In actual projects, the face recognition hardware needs to be connected to the actual application system to meet the final needs of customers. Such as access control system, attendance system, temperature measurement and passage system, etc. In order to further enhance the user experience, hardware manufacturers also need to invest R&D resources in hardware research, production and sales, and are committed to improving software development capabilities, which is difficult for some small and medium-sized manufacturers. In this regard, companies need to strengthen communication and cooperation in technology, platform, and systems.
Looking at the long line, waiting patiently in line for payment is something that many consumers are reluctant to encounter. With face recognition self-service terminals, ordering, picking up, and paying are undoubtedly much more convenient. Maybe in a few years, the application scenarios of face recognition self-service terminals will be further expanded!
