Last Updated on May 30, 2022 by Maria James
The advancement in technology has increased the demand for security systems that tend to protect the resources of the organizations. These systems are efficient enough to protect the clients and business, resulting in growth and data security. Still, the online circle experiences different attacks of identity theft and fraud. The market is still exposed to multiple threats of cyber attacks and people are more vulnerable after the introduction of new toolkits for cheating.
To tackle this situation, biometric facial technology is being use.
An Overview of Face Verification Technology
Most of us have selected the biometric way of unlocking our everyday devices such as phones and laptops. Whether fingerprint or face recognition the biometric way of processing user identity is more secure than the other means of authorization. The surveys indicate about eighty percent of the audience prefer biometric security for processing their day-to-day data and transactions. The banking sector is also a major consumer of this technology as the transactions involve high-risk transfers between clients and businesses.
The reason why facial recognition technology is trusted by different organizations around the world is its way of processing human characteristics. It uses various AI-based face scans which are termed AI face recognition to develop patterns of face identification. It uses different measures to map out the faces of the users. From learning the human facial patterns by analyzing the characteristics, the intelligently programmed face verification technique provides a fast and secure way of authorization that can be trusted by users worldwide.
Identity Thefts – Major Concern of Modern-day Businesses
The online business movement of most industries has created so many opportunities and chances for multiple clients and other businesses. With the platforms’ digitalization, the new risk of online scamming also has arisen. The major risk is in the identity theft of different users. Attackers use multiple methods of stealing identities online such as phishing and other profile logging attempts. Identity theft leads to other major concerns for businesses as the attackers use different ways to get access to the business resources. Document verification service is also use for this purpose.
Using Fake Identities
Using fake identities to get inside the online system of any organization is the main goal of the attacker. After stealing the user identity the attacker breaches inside the system by pretending to be the real user and misconfigures the whole platform either by stealing data or by injecting various infected files into the online system of the organization.
Using Synthetic Identities
The combination of fake and stolen information to create a completely new user entity is the process termed synthetic identity fraud. The attackers use this technique to create entirely new user profiles by which they perform illegal activities within the online systems. Most financial institutions fall prey to synthetic identity frauds.
Online Face Verification System
The introduction of an online face verification system in different digital platforms ensures user identity. With online facial scanning technology. The attackers are prevent from destabilizing the systems. The online verification system is deploye digitally by using multiple technologies such as artificial intelligence and machine learning to completely automate the process of face recognition online. Online face verification of the user filters out all the fake and forge user profiles as the attackers cannot breach the online facial scanning system. To enhance the security further, other checks are implement for further evaluation.
User Face Matching
The facial data of the register users is install on the repository of the existing online face verification system. At every onboarding process, the user’s face is match with the existing information in the database for authorization. It uses multiple comparison algorithms to process the image within the system and the face of the user by distinguishing human facial characteristics such as skin color, jawline depth, structure, and geometry of the face.
Liveness Detection
Liveness detection is a process that is implement in modern-day facial recognition systems. It uses the camera or any other facial detection device to detect the liveness of the user in real-time. This method provides an excellent solution for protecting the stolen identities of the users so they cannot be used for any illegal activity in a specific time frame.
3D Facial Scanning
The most recent addition to the facial verification system is the 3D facial scanning and processing of the user. With 3D scanning, the system performs a complete three-dimensional scan of the face by using mathematical formulas to calculate the facial characteristics of the user. The nodes of the face are mark by the 3D verification system which in turn processes the user image more efficiently.
Conclusion
Getting renowne in the smartphone industry where face scanning was use for unlocking mobile phones. The facial recognition technology has now become a necessity for the different corporate-level organizations. As a major check at various access points of the firm. With everyday achievements such as liveness detection and 3D scanning in the facial recognition cycle. The system is improving with secure results.
