Every online platform is flooded with users from all over the world. Especially after the period of the pandemic, the perspective of everything has changed. The remote approach has increased its demand across the globe. Online methods of working are introduced to the people which are being adopted by every business and organization. As the need for online platforms is increasing, corporations are shifting their key processes of trading online. The recent surveys show a brisk increase in the conversion of business, the number is crossing the billion mark as the global e-commerce industry jumps to $26.7 trillion according to UNCTAD (United Nations Conference on Trade and Development).
The online platforms face multiple risks as the fraudsters are involved in misusing these digital networks for their illicit means of money laundering and theft. Countering this situation of corruption and theft, the authorities are using biometric solutions to verify their users.
Biometric Solutions For Preventing Online Crime
Biometric solutions are implemented for preventing online crimes. Different organizations adopt biometric services for verifying their employees. The methods of biometric identification include fingerprint reading solutions, face recognition systems, and Iris scanning services. These methods are effective in detecting the real user and restricting the fake ones.
For online platforms, face recognition technology is mostly used. The face match online method uses intelligent identification algorithms to perform live facial scans of the users. With this technique, the user is biometrically evaluated by the identity verification systems.
Face Detection System: In-Depth Explanation
The face detection system is not a new solution, in fact, the concept of identifying human faces via computer systems was given in 1965. With continuous updates on the system, face recognition technology is now being implemented at different levels of the industry. Different sectors consume this methodology in different ways, some industries use it to verify the user identity while some use it for catching criminals in the critical systems.
The process of face authentication is initiated by scanning the face of the user via a camera device. The recent updates have improved the device’s support for facial recognition as most people experience accurate face reading right from their mobile phones.
After the scanning process of the facial verification, scanned data is marked with multiple identification points called nodes. These nodes are marked on the basis of the user’s facial characteristics such as eye position, jawline structure, cheek depth, nose shape, and facial geometry. All these facial metrics are evaluated in the scanning phase of face verification.
The face data marked is then collected and stored in the repository of the face verification database. Most organizations have facial data of their clients, users, employees, and other business partners stored in their file systems. The data is responsible for verifying the users at every scanning cycle.
The face verification system compares all the aspects every time when a face is scanned, the user is verified after comparing their facial data with the data present in the repository of the face verification system. The software mathematically calculates and evaluates all the facial metrics called nodes to verify the user with the data present in the database of the system.
How are Online Users Verified?
The face recognition system is adopted by most offices for secure interactions. To verify a person via online means the face matching method is implemented. It uses AI-based recognition to identify the user remotely. For scanning the face of the person a web camera or a mobile phone camera is used. The online verification system processes the data of the person in real-time and compares it with the data from the database in a matter of seconds. As the whole system of verification is connected virtually, the scan results are calculated quickly. The user is then verified on the basis of these results.
Is Face Verification Future Proof?
Face verification technology is evolving with more new features to be implemented in the future. The introduction of AI-based face-scanning technology has greatly improved the speed and processing of the face verification system. It has got the potential of improving identity verification methods in a number of ways. The new 3D facial scanning is also an improved algorithm that increases the accuracy of the facial recognition systems.
Wrapping It Up
Face recognition technology has come so far with efficient processing of the user’s facial data. It was an old piece of technology that is now being used in multiple sectors of the industry across the globe. With new methods of scanning and processing facial data, the new businesses and organizations adopt face matching solutions as the main authorization procedure online. It restricts the access of unverified users and provides a secure onboarding process. Face authentication systems are being implemented online with new ways of verifying user data virtually, right from their mobile devices.