At present, from the perspective of the layout of application scenarios in the field of global face recognition lockers, security, finance, transportation and other fields are relatively mature fields. There are many fields such as equipment, education, medical treatment, and entertainment. Other areas. Application scenarios have brought new opportunities for economic and social development and the convenience of people's lives.

1. Intelligent security field

With the development of projects and technology applications such as smart cities, big data, and artificial intelligence, there is an increasing demand for facial recognition technology in the field of smart security. Face recognition, as a very important means of identification, has been widely used in public security inspections, online escape, household registration investigations, and document inspections. At the same time, face recognition can also be used as an access control method to expand applications such as attendance systems and access control systems to ensure that only authorized personnel can enter specific areas.

 2, financial transaction field

Face recognition is also very common in the field of financial transactions. Its application scenarios mainly include facial recognition and deposits and withdrawals, remote opening of electronic bank accounts, online network payments, etc. . As early as 2013, Finnish startup Uniqlo launched the world's first payment platform based on facial recognition systems. The face recognition system matches the user's facial biological data with the account in the database, and can quickly complete the identity confirmation and transaction process in a short time.

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3. Public transportation

The application of face recognition technology in public transportation mainly includes aviation, train, automobile, subway and other public travel fields. The International Civil Aviation Organization stipulates that since 2010, 118 member states and regions must use machine-readable passports, and face recognition has become the preferred mode. Face recognition technology was first applied to aviation security inspection, and then gradually expanded to the railway station, subway station and other public transportation safety fields in some cities.

4. Marketing and retail

Currently, the application of face recognition in marketing and retail is rapidly expanding. Face recognition technology is widely used in new retail scenes represented by unmanned retail. Unmanned vending machines can be found in all major shopping malls, buildings, subways, stations and other public places. Unmanned convenience stores have widely used face recognition since 2017. Security system. In addition, facial recognition technology is also widely used in advertising and identifying customer information (such as customer gender, age, facial expression, skin type, time spent viewing advertisements, etc.), and by analyzing these data, we can locate customers that are most attractive Powerful advertising.

5. Smart device unlocking

In September 2017, Apple’s new iPhone X was the first to apply the FaceID screen unlocking function. Subsequently, major mobile phone brand manufacturers have applied the unlocking function of face recognition one after another, triggering an upsurge in the application of face recognition on smart terminal devices, becoming face recognition. New rapid growth point of the industry.

6. Education field

In addition to applying face recognition technology to prevent cheating in major exams, face recognition technology is also used for classroom sign-in and classroom effect monitoring. The use of facial recognition technology in the classroom can further enhance the teaching effect by recognizing the facial expressions of the students, monitoring and analyzing the emotional performance of the students. Researchers from Carnegie Mellon University (CMU) demonstrated a comprehensive real-time sensing system-"EduSense". The system uses two wall-mounted cameras (one for students and one for teachers). A single camera can see everyone in the classroom, automatically identify information, and analyze video and audio.

7. Find missing persons

 Face recognition system has become one of the effective tools for finding missing persons. Adding photos of missing persons to the database and using face recognition technology for information comparison can promptly send an alarm notification to law enforcement officials. In April 2019, a document submitted by the Ministry of Women and Child Development of India to the High Court showed that Delhi police used facial recognition technology to identify 2,930 children from 45,000 children living in children’s homes within 4 days.