Regardless of the issues that have been raised about face verification, this method is already increasing throughout the world. While some argue that face recognition technology violates privacy, others highlight how technology helps society as a whole. Hence, the most well-known verification technique of the present time, facial recognition technology, is expected to generate USD 8.5 billion in revenue by 2025.
Biometric face recognition is the technique that uses a person’s facial features to identify them. The system efficiently detects distinctive traits of people sitting in a group or walking down the street. It comprises a thorough examination of the subject’s facial features, such as the space between their eyes, the curve of their lips, the shape of their chin, etc.
Features of Face Recognition Technology
Many business sectors are using facial recognition technology online. Before moving on, let’s first learn some fundamental aspects of biometric face recognition technology.
Liveness Detection
The identification of spoof attacks like 3-D masks and video replays depends on this technology. Businesses can accurately determine whether the individual presenting themselves is indeed there or is just a fake using liveness detection technologies. By examining numerous image characteristics, the technique quickly identifies imposters and con artists.
Micro-expression Analysis
Micro-expression analysis is a practical approach for distinguishing trustworthy consumers from a crowd of fraudsters. This technique examines a person’s nonverbal cues, including how their lips move or blink, to confirm their identification. In this way, it weeds out scammers who try to trick face recognition technology with manipulated images or pre-recorded movies.
Applications of Face Recognition in Different Sectors
The use of an online face recognition system has expanded beyond the public sector. Today, a wide range of other industries are adopting it. Let’s explore the benefits of facial recognition in each of them separately.
Healthcare
The potential of fraudsters trying to obtain unlawful benefits is ever present in the healthcare industry. By excluding them from further consideration during the account opening step, firms use facial recognition online techniques to detect such criminals. Telemedicine institutes are deploying facial detection to confirm patients’ identities before offering them online consultations.
Finance
All financial firms like banks and investment businesses are using a face match online to prevent the onboarding of criminals. Fraudsters target such organizations to perpetrate financial crimes and profit financially. By applying AI-based face recognition to confirm clients, facial identification systems can quickly identify and stop dangers like identity fraud, account takeovers, and information theft.
Education
The online facial recognition trend also attracted the interest of educational institutions. Face detection has eased many procedures, including student monitoring, online assessments, and attendance tracking. To better comprehend students’ levels of attention during classes, the sector is employing face verification technology to evaluate their facial expressions.
Law Enforcement
The law enforcement sector is the first sector to use biometric face detection. Law enforcement officers in countries including China and the UAE use this technology to protect the public. For example, a CCTV camera captures a criminal seen on the street. After extracting biometric information from CCTV footage, face recognition identifies the criminal’s facial characteristics. In addition, technology has been shown to help ensure the safety of police officers. They can scan a driver’s face and recognize them from a mile away. This allows them to call for help if they come across a murderer while they are on the road.
Retail Sector
The retail industry has been using face detection for security purposes for a long time. Several grocery stores use integrated face detection technology to identify shoplifters, suspected criminals, and prospective suspects. Online consumer verification is another use for this technology before one confirms orders.
Final Thoughts
Many businesses are improving their systems to run faster while utilizing facial data. Even photos taken in low resolution because of poor lighting or hidden faces can now have their images retrieved. Although it is still in its early stages, research is underway on AI-based facial recognition online.
The research aims to identify people using masks or other disguises more accurately. Face recognition technology is increasingly coupled with other biometrics, such as voice recognition technologies and retina or iris detection. This is to increase the reliability and efficacy of the findings produced by facial recognition technologies.
