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The development status and future development trend of face recognition technology

  • Author:HFSecurity
  • Release on:2020-11-04
Face recognition, usually also known as portrait recognition and facial recognition, is a biometric technology for identification based on facial feature information. It mainly uses a camera or camera to collect images or video streams containing human faces, and automatically It detects and tracks human faces, and then performs a series of face related technologies on the detected faces.

HFSecurity Face Recognition Device
In recent years, with the development of artificial intelligence and the needs of national economic development and security and defense, my country's face recognition market has continued to expand, its technical level has been continuously improved, and it has achieved a world leading position in algorithms. With the continuous development of artificial intelligence and the quiet arrival of the intelligent era, biometric technology represented by face recognition is becoming more and more popular. From security, payment, finance to education, medical treatment and transportation, "face brushing" has become the norm, bringing a lot of intelligence, safety and convenience to people's production and life.

1. Development background of face recognition technology


Face recognition Technology is a kind of biometric recognition technology based on human facial feature information. In addition to the two major areas of security and finance, face recognition has also been widely used in many scenarios such as transportation, education, medical care, police, e-commerce, and has shown significant application value. In order to further grasp the major opportunities brought by face recognition technology, my country has issued a series of policies to support it.

Since 2015, my country has successively issued the "Guiding Opinions on the Remote Opening of RMB Accounts by Banking Financial Institutions (Draft for Solicitation of Comments)", "Technical Requirements for Security and Video Surveillance Face Recognition System", and "Information Security Technology Network Face Recognition" "Authentication System Security Technical Requirements" and other laws and regulations have laid an important foundation for the application of face recognition technology and the popularization of finance, security, medical and other fields.
HFSecurity Face Recognition Device

In 2017, artificial intelligence was included in the national government report for the first time; in July of the same year, the State Council issued the "New Generation Artificial Intelligence Development Plan"; in December, the Ministry of Industry and Information Technology issued the "Three-year Action Plan for Promoting the Development of the New Generation Artificial Intelligence Industry (2018- 2020)", in which clear requirements are made for the improvement of the effective detection rate and correct recognition rate of face recognition. As the main segment of artificial intelligence, the national policy support for face recognition is obvious.

In 2020, the "China's New Generation Artificial Intelligence Development Report 2020" was released today at the Pujiang Innovation Forum. The report systematically reviews the overall situation of China's artificial intelligence development in the past year. The report is divided into seven chapters: global development, innovation environment, technology research and development, industrialization application, talent training, regional development, and artificial intelligence governance. It strives to objectively reflect the implementation of China's "New Generation Artificial Intelligence Development Plan" and reveal new challenges for future development And new trends.
HFSecurity Face Recognition Device

2. The development history of face recognition technology




Facial recognition was initially studied by researchers in the 1960s, and it really entered the primary application stage in the late 1990s. Its technology maturity has reached a high level since its development.

In 1991, the Eigenface algorithm was applied to face recognition, realizing automatic face detection for the first time. This technology was proposed by Sirovich of Hopkins University and was carried forward by Alex Pentland, the founding director of "Connected Science" at the Massachusetts Institute of Technology (MIT). In 2012, he was named "one of the 7 strongest data scientists in the world" by Forbes, and Google founder Larry Page was awarded this honor.

After 2000, the NIST Research Institute extended the FERET project and initiated two new projects, FRVT and FRGC. FRVT is to assess the usability of technology, test the performance of algorithm systems, and provide inspection reports for relevant departments of procurement technology. FRGC is geared towards companies and teams in the market, in conjunction with the customization needs of other departments, and releases bidding competitions. FRVT is responsible for docking assessments and helping different departments to improve the personalized requirements of the face recognition system.

In 2010, as Facebook added the face recognition function, face recognition began to move towards individuals. From payment to beauty, global Internet companies have followed up. In 2017, Apple iPhone X released the face unlock function for the first time, which was sold out and detonated the market. Now face recognition has been applied in all aspects. Short videos and live broadcasts will be high every day. Appeared around us frequently. The entire development process can be divided into mechanical identification, semi-automatic identification, non-contact identification and Internet application stages.
HFSecurity Face Recognition Device
Compared with other biometric methods, the advantage of face recognition lies in its naturalness and imperceptibility. Naturalness means that the recognition method is the same as the biological characteristics used by humans for individual recognition. Fingerprint recognition and iris recognition are not natural. The feature of being undetected makes this identification method difficult to resist, and fingerprint recognition or iris recognition requires the use of electronic pressure sensors or infrared to collect fingerprints and iris images, which makes the experience poor in the collection process.

At present, the problem that needs to be solved in face recognition is how to ensure the recognition rate in different scenarios, facial occlusion and other applications. In addition, privacy and security are also issues worth considering. Face recognition has obvious advantages and will become the dominant technology for recognition in the future.
HFSecurity Face Recognition Device
Specifically, compared to traditional biometric methods such as fingerprint recognition and iris recognition, the advantages are mainly concentrated in four points: non-contact, non-intrusive, complete hardware foundation, fast and convenient collection, and good scalability. In a complex environment, after the problem of face recognition accuracy is solved, it is expected that face recognition is expected to quickly replace fingerprint recognition and become the mainstream recognition technology for large-scale applications in the market.

3. Current status of research and development of face recognition technology


The acceleration of the development of face recognition comes from the development needs of my country's intelligent society construction on the one hand, and the rapid development of face recognition technology on the other. Especially under the wave of artificial intelligence in recent years, the face recognition industry has been favored by capital, which provides a major opportunity for the development of face recognition technology. According to SooPat data, the number of patent applications related to the face recognition industry in my country has been increasing in recent years.

In 2018, the number of patent applications in my country's face recognition industry was 3,487, a slight increase from 2017. The number of patents disclosed was 5,200, a year-on-year increase of 93%. From January to February 2019, my country's face recognition patent disclosures have reached 1,174, exceeding the level of the entire year of 2014.
HFSecurity Face Recognition Device


4. Analysis of the application status of face recognition technology in my country


2014 was a turning point in my country's face recognition technology, which moved the face recognition technology from theory to application. 2018-2020 is an important node for the full application of face recognition technology, and the era of "face-brushing" has officially arrived.

At present, from the perspective of the application of face recognition technology in my country, it is mainly concentrated in three areas: attendance and access control, security and finance.



From the specific application point of view, it mainly includes criminal investigation and escape, criminal identification and border security in the field of public security; e-government, household registration management, social welfare and insurance in the field of government functions in the field of information security; e-commerce in the field of commercial enterprises, Electronic money and payment, time and attendance, marketing; military confidential departments in the field of entry and exit, access control and entry and exit management of financial institutions, etc.



In addition to the field of public security, face recognition is also more used in the financial industry. At present, the use of face-swiping cards, remote loans, independent account opening, and face-swiping payments have begun to penetrate in our lives. Nowadays, many banks have introduced facial recognition systems into their own devices. When applying for a card, they can use facial recognition technology to compare the photos collected on the spot with the saved photos and ID photos. After confirmation, the autonomous opening can be carried out. Cards, business changes, password reset and other services are more secure and efficient.

At the same time, in the field of traffic, pedestrians running red lights have also entered the era of "face-sweeping". Chinese-style crossing the road used to be a joke for a while. When many Chinese cross the road, the situation of walking without looking at the traffic lights and getting enough of a group of people has not been improved. This bad habit of running red lights has always been difficult to control, but the development of face recognition technology has given us a turning point.

Nowadays, some areas have begun to use face recognition technology to control pedestrians running red lights. When pedestrians run red lights, the automatic recognition capture system will capture the citizens who run the red lights and upload the data to the Big Data Investigation and Experiment Center to verify their true identity. And the illegal personnel will be exposed on the large electronic screen in real time.
HFSecurity Face Recognition Device

5. The future development trend of face recognition


First of all, the most extensive field of face recognition applications is the security industry, which not only injects new vitality into the entire security industry, but also further opens up new developments. Intelligent video analysis is often used as the future development direction of the security market. The important technology is face recognition.

Second, my country’s 3D measurement technology has developed well in recent years, and the current 3D face recognition algorithm is supplementing the defects of 2D projection. In addition, the traditional difficulties, including face rotation, occlusion, similarity, etc. All of them have been well dealt with, which has become one of the most important development routes of face recognition technology.

Third, big data deep learning has further improved the accuracy of face recognition, which has also made a certain breakthrough in the application of 2D face recognition. Applying it to the Internet financial industry can quickly popularize financial-level applications.

Fourth, because of its convenience and safety, face recognition technology can be used as an access control system and authentication system in smart homes. Therefore, the integration of smart home and face recognition technology is the key direction of future development. The face recognition system in the smart home is established by combining the embedded operating system and the embedded hardware platform, which strengthens the integration of face recognition technology and smart home applications, and has the characteristics of new concept and strong practicability.

Fifth, face recognition technology is an important development direction based on big data in the future. Nowadays, public security departments have introduced big data, which has also made up for the difficulties of traditional technology. The use of face recognition technology enables these photo data to be stored and used again, which can greatly improve the management and overall planning of public security information, which will become the future face recognition The main development trend


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