Facial recognition: how it is practiced in different countries of the world
How face recognition is practiced in different countries of the world
Present and Future of Biometrics
Nowadays biometric solutions are used with increasing frequency in different countries of the world and are becoming more accurate and unmistakable. According to NIST research, huge success was achieved in facial recognition accuracy (the most popular type of biometric identification) from 2013 to 2018: when searching the database for 26.6 thousand photos in 2014, the failure rate was 4%, while in 2018 it was only 0.2%. In 2020, the failure rate reached 0.08%, that means a fiftyfold increase in safety. Thus, it becomes safer and more convenient to use biometric means of identification every year. This article will consider the use of biometrics (in particular facial recognition) in different countries and their positive impact on all spheres of life.
Today the KYC (Know your customer) principle is widely used. It means that a company, working with money, must make sure that the person engaged in the financial transaction is the one who he or she claims to be. This approach reduces the cases of money-laundering and tax evasion. Using biometrics, this approach becomes even more reliable, especially with using of electronic banking services.
At the moment, facial recognition is becoming more and more widely applied in identifying, using mobile devices. Turkish company Techsign offers end-to-end identity authentication and KYC services using biometric data — facial recognition («selfie biometrics») and liveliness verification (i.e., checks whether the provided biometric sample is genuine). This solution is in great demand among users and shows high data protection results.
The British company ComplyCube also reports an increase in demand for its cloud KYC solution with the integration of biometric verification (selfie biometrics), that is associated with the growing market of online identification and the convenience of remote financial transactions. Biometric remote registration is expected to increase the digital identity verification market to $16.7 billion over the next five years.
The alliance of Neoris and Veridas offers a jointly developed voice biometric solution with fraud protection that can determine the authenticity of the biometric sample. This technology allows you to pass authentication in only 3 seconds (regardless of the language or text used), which greatly simplifies and accelerates this process.
Mastercard launched the Selfie Pay customer identification technology using facial recognition («selfie biometrics»). Most of Mastercard's customers needed this technology very much, because according to surveys, about 75% of people believe that biometrics can reduce the number of fraud cases. Selfie Pay also saves from the need to use passwords and PIN codes, which considerably speeds up and simplifies the payment process.
In the healthcare sector there are many perspective areas for the development of biometrics to identify patients, gain access to a personal account for patients and doctors, as well as to diagnose some diseases using facial recognition.
At the moment biometric identification has already been implemented on admission to the hospital: in addition to passports and other documents, there are also various mobile applications to strengthen the protection of the patient's personal data. They use facial recognition, because this method is contactless (that is convenient in some diseases), as well as in general the most convenient and simple biometric means of identification. The American company Certify Health has developed an application for biometric authentication of patients, which has significantly accelerated the registration process of patients and monitoring their medical history.
The Imprivata company (develops biometric access control solutions), in partnership with Aware, which develops software for biometric authentication and identification, and IDEMIA, which produces biometric access control and time accounting solutions, have released a facial recognition system for patients to receive electronic prescriptions for controlled substances (EPCS). This system saves hours for patients and doctors, that they spend on the traditional registration process. Moreover, this process becomes more secure, because the system has built-in vitality check from Aware, which makes it possible to guarantee the identification of the right person (i.e., confirms that the presented biometric sample is genuine and real).
The Science 37 company (develops applications for remote interaction with patients) and AiCure (develops a medical system for diagnosing and conducting clinical trials using artificial intelligence) jointly created technology to support patients with depression in real time. AiCure technology provides monitoring of patient dosing and behavior. The platform uses digital biomarkers, such as facial and voice expressions, to assess depression symptoms, as well as other biometric data. This technology also uses computer vision to monitor the remote dosing of drugs and the state of the patient in real time mode. This technology allows you to conduct deep clinical research remotely, which greatly simplifies this process for patients and doctors.
In the future it is planned to use facial recognition to diagnose various diseases (including emotion recognition to diagnose neurological diseases), that will significantly improve the accuracy of the diagnosis and reduce the time in which it will be correctly made.
Service industry and Entertainment
The use of contactless biometrics in various sectors of entertainment is growing every year: from 2021 to 2031 its use is expected to increase by 16%.
The research by the Japanese company NEC has shown that the use of electronic menus with built-in biometric technologies in fast food restaurants increases revenue by saving time that customers usually spend studying the analog menu. At the moment the company is exploring opportunities for improving the customer service, which can be implemented using facial recognition, for example, a personalized menu, safe payments and bonuses for r repeat customers.
At the Disney World Entertainment Center (USA), a biometric identification of visitors was launched in order to collect information about time that a person spent in the park and its level of satisfaction with the provided services. This study in the long term will make it possible to use facial recognition to visit and pay for attractions, as well as to evaluate the work of employees and other services.
In the shopping industry there is also an increasing use of facial recognition technology. NTT Data Corporation has developed a biometric service for contactless payment in supermarkets, so users may not even use the phone, because the system recognizes them when they enter the store. The use of this technology improves the quality of customer service and ensures uninterrupted business processes, as well as reduces the workload of store employees.
Facial recognition is often used in casinos, because it is significant for customers to protect their money, especially when using online services.
The US Information Technology Laboratory (ITL) is developing its own facial recognition system, ICU, which can be used to verify the age of a casino visitor, as well as to identify excluded or self-excluded players, which supports the practice of responsible gaming. This technology shows a result of 96% when recognizing people under 18 years old, while a person determines age with an accuracy of 69%. Thus, its introduction will greatly help to avoid getting into the game hall of players who do not have the right to be there.
Now facial recognition technologies are already widely used to search for and capture criminals, recorded in a database. Thanks to the same technology, a customer support service helps to recognize repeat customers and offer them any services, for example, a favorite drink in a bar.
In the future a promising direction will be the introduction of facial recognition in order to prevent the development of gambling problem, for example, limiting the ability to enter the casino several days a week and recognizing the initial stage of gambling addiction by face and emotions.
In the transport sector biometrics is used both at the level of border crossing and migration, and at the level of a regular metro trip. In different countries biometric passports are increasingly used in conjunction with facial and fingerprint recognition to identify a passenger.
Mastercard, together with partners in the transport sector, developed biometric authentication technology using facial recognition, gait, as well as heartbeat and a pattern of the veins for the transport payment system. The introduction of this authentication method has increased the security of payments, and is also used to assess the level of customer satisfaction when using transport services. A similar facial recognition technology has already been implemented in Korea by T-Money. The user downloads his biometric selfie to the system and links the appropriate payment method. This method saves passengers a lot of time, being fast and contactless, and also improves their experience in using transport.
The international company Thales has developed ABC eGates, a biometric access system for airports, which includes facial recognition and document verification. It is expected that it will significantly simplify and accelerate the border control process, while the waiting time for passengers will be significantly reduced due to faster processing of data, which will make the trip more comfort for passengers. A similar contactless technology was developed by Idemia company and it is currently being deployed at Auckland Airport, and it is also planned to introduce it at airports in other countries.
Biometrics is quite widely used in education and in the future its use will only grow. At the moment pass systems with fingerprints have already been introduced to pay for food, passage to the dining room and library, as well as for registering absence in schools of Great Britain and France.
In the future it is planned to introduce facial recognition in proctoring systems. Riid and DXtera companies have joined in the alliance EdSAFE AI Alliance to increase confidence in systems using artificial intelligence and setting standards in proctoring, that soon will allow the development of an impartial and effective facial recognition system for control in the field of education.
In business sphere biometric technologies are widely used while controlling access to facilities and access isolation in premises. This industry is growing every year, as the introduction of biometrics greatly improves the security of objects and systems, as well as accelerates and simplifies many business processes.
American company Tascent Inc. launched its access control system based on facial recognition InSight Access, specially designed for office buildings. Similar technologies (e.g., Invixium EMS technology and Precision YOUNiQ by Precise Biometrics company) are used in many offices around the world, providing workers with safety and comfort, as well as faster entry into the workplace by increasing the capacity of checkpoints.
Facial recognition in business centers is widely used not only for access control, but also for video surveillance in offices, tracking the login, recording the employee's working time and greeting at the entrance to the facility, as well as for tracking visitors of the business center. Thanks to the use of biometrics in business centers, it is possible to greatly increase the efficiency of workers and the level of safety, as well as make the experience of visitors more pleasant and comfortable.
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