Articles by Evgeniia Marina
Several major players vigorously employ biometric recognition technologies around the globe. Governments use biometrics to control immigration, security, and create national databases of biometric profiles. Being one of the most striking examples, the Indian Aadhaar includes face photos, iris, and fingerprints of about 1.2 billion people. Financial institutions, on their part, make use of biometrics to protect transactions by confirming a client's identity, as well as develop and provide services without clients visiting the office. Besides, biometric technology ensures security and optimizes passenger traffic at transport facilities and collects data about customers, and investigates theft and other incidents in retail stores. Widespread use of biometrics Business, which suddenly boosted the development of biometrics, is an active user of biometric technology Business, which suddenly boosted the development of biometrics, is another active user of biometric technology. Industries choose biometric systems, as these systems are impossible to trick in terms of security, access control, and data protection. Being in demand in business, these three tasks are also relevant for the industry. However, the use of biometrics at industrial sites is discussed unfairly seldom. Therefore, it is the face identification that is the most convenient there, as workers often use gloves, or their hands may be contaminated, and the palm pattern is distorted by heavy labor. All these features make it difficult to recognize people by fingerprints or veins and significantly reduce identification reliability. Therefore, industries seek facial recognition solutions. Thus, let us demonstrate the application of face recognition technology at different enterprises, regardless of the area. Facial recognition use in incident management Facial biometric products are known to automate and improve the efficiency of security services by enriching any VMS system. These systems provide an opportunity of instantly informing the operator about recognized or unrecognized people, and their list membership, as well as save all the detected images for further security incident investigation. Furthermore, some sophisticated facial biometric systems even provide an opportunity to build a map of the movements of specific people around a site. Besides, it is relevant not only for conducting investigations but also in countering the spread of the COVID-19 virus. Identifying and tracking COVID-19 positive cases Therefore, if an employee or visitor with a positive COVID-19 test enters a facility, the system will help to track his/her movement and identify his/her specific location. It will also help to take the necessary measures for spot sanitary processing. Thus, the introduction of biometric facial recognition at the industrial enterprise can improve and speed up the incidents’ response and investigations without spending hours watching the video archive. Access control system to secure physical assets The right access control system can help industries secure physical and informational assets The right access control system can help industries secure physical and informational assets, cut personnel costs, and keep employees safe. Facial recognition systems may enrich access control systems of any company by providing more security. As biometric characteristics, by which the system assesses the compliance of a person with the available profiles in the database, cannot be faked or passed. The human factor is also reduced to zero, due to the fact that while identity documents can be changed, the inspector can make a mistake or treat his/her task carelessly, be in collusion with an intruder, the biometric system simply compares a person in front of the camera with the biometric profiles database. Biometric facial identification software For example, RecFaces product Id-Gate, a specialized software product for reliable access control to the site, checks the access rights by using biometric facial identification alone or in conjunction with traditional IDs (electronic passes, access keys, etc.), which means that there is almost a zero probability of passing to the site by someone else's ID. The access control system’s functionality allows one to strictly account the number and time of all the facility’s visitors and also track their movement. When unauthorized access is attempted or a person from the stop list is detected, Id-Gate sends an automatic notification to the access control system and operator. Enhanced data and information security Even despite the division of access to different industrial enterprise areas, the security service needs to provide independent information system security. Employees with the same facility access rights may have different access rights to data. However, in that case, a personal password is not enough, as an employee may forget it, write it down and leave it as a reminder, tell a colleague to do something for him/her during the vacation, or just enter it at another person’s presence. Password-free biometric authentication systems make the procedure user-friendly and secure Password-free biometric authentication Password-free biometric authentication systems make the procedure user-friendly and secure. Such systems usually provide an option of two-step verification when successful password entry is additionally confirmed by biometric recognition. Hence, it is particularly relevant due to the current lockdown in many countries. To sum up, the application of biometric technologies solves several issues of the industry, such as: Optimizes and partially automates the work of the security service, as it provides reliable identification and verification of visitors/employees, reduces the amount of time spent on finding a person on video and making a map of his/her movements, without spending hours on watching video archive in case of investigation. Provides a high level of reliability and protection from unauthorized access to the enterprise and the information system. Provides a two-step verification of the user/visitor (including password and biometric data) and almost eliminates the risk of substitution of user data/ID.
Fingerprint identification had once been the most widespread biometric technology around the world. However, many argue that this technology has quite a lot of shortcomings. For instance, even expensive fingerprint reading scanners have a hard time identifying dirty or wet fingers, plus, some people's fingerprints are unreadable. Furthermore, being vulnerable to the temperature and precipitation, such scanners consequently cannot be used outdoors. Plus, fingerprint reading scanners do not meet today’s demand for contactless biometric technology. According to a new comprehensive report 'Global Contactless Biometrics Technology Market 2020-2026', "the Global Contactless Biometrics Technology Market size is expected to reach $18.6 billion by 2026, rising at a market growth of 19.1% CAGR during the forecast period. The development and acceptance of contactless biometric technologies have been driven by demand for faster and easier authentication processes and boosted by demand generated by the COVID-19 pandemic." Thus, it is contactless biometric recognition technologies that meet the latest requirements. Too expensive? Until quite recently, face recognition technology was too expensive and poorly scalable. Nevertheless, a lot of factors have changed in recent years. To start with, facial biometric technologies have become more accessible for a large audience. Being affordable, reliable, and easy to use, facial recognition systems provide a high level of security. Furthermore, the facial recognition system allows you to instantly notify about facial identification cases.The market of biometric technology is continuously growing It is also important to emphasize that the system itself automatically updates biometric data. Photos in biometric profiles can be updated directly from the video stream. The data is stored in long-term storage and does not take up much memory. The reasons mentioned above provide all business fields with a competitive advantage. Since the market of biometric technology is continuously growing, contactless identification will be highly demanded in the long run. Impact of COVID-19 Plus, the contactless facial recognition system is especially relevant today due to the COVID-19 pandemic. Now wearing a mask is required almost in all public places. That is why those systems aimed at people's safety monitoring had to promptly develop their solutions according to the new requirements. Developers of facial biometric solutions have encountered an issue of face detection in masks. It was essential to adapt the software to such changes, more specifically update the face recognition algorithm. It may be illustrated by the case of RecFaces company. RecFaces developers have updated the facial biometric algorithm to ensure the most accurate recognition of people in masks that cover almost 50% of a person's face. Nonetheless, if the company forbids entering its territory without a mask, the system sends notifications (push or SMS notifications) to control people coming through the checkpoint with and without masks. The algorithm update has boosted face recognition accuracy and speed. Global transformation As a matter of fact, facial recognition algorithm has evolved around the world. According to the tests conducted by the National Institute of Standards and Technology (NIST), the top face identification algorithm of 2020 has an error rate of 0.08% compared to 4.1% for the best algorithm in 2014. Such improvements will reduce risks linked to misidentification, and expand the advantages that can come from proper use in the long run.Al and deep learning are key elements of the latest-generation algorithms According to the National Institute of Standards and Technology report recognition errors were caused mainly by image quality variations like pose, illumination and expression. In 2018 the software was at least 20 times more accurate than it was in 2014 and in 2019 finding “close to perfect” performance by high-performing algorithms. Such improvement has resulted from the integration or replacement of previous approaches with those based on deep convolutional neural networks, operating even with poor quality images. Artificial Intelligence (Al) and, more specifically, deep learning are key elements of the latest-generation algorithms. Facial recognition is reaching that of automated fingerprint comparison, which has been considered as the gold standard for identification for a long time. Therefore, there is no doubt that innovation drives the development of solutions, and biometric technologies also move with the times. The shift from fingerprints to facial recognition is a vivid example of such evolution!
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