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Online Face Verification – The Future of Secure Online Platforms

As a relatively new technology compared to other biometric authentication systems, facial recognition has much more potential. The use of AI has made authentication processes very complex and detailed, searching through vast datasets simultaneously and finding out variations in characteristics.

According to research, facial recognition technology is expected to have a market value of 11.62 billion dollars by 2026. This is because businesses that conduct their operations and transactions through digital platforms need to have secure working environments. For this reason, online face verification has become a revolutionary security measure.

Effective Authentication

AI-based technologies are in demand, and when it comes to security, face recognition provides the best solutions. Other biometric verification solutions such as fingerprints and iris scanning were already being implemented in security systems, but face verification provides more accuracy and makes it even easier for the users to verify themselves.

The process of identity verification is a basic necessity for every business, and it requires the person to show their face and their documents, or enter passwords to authenticate themselves. Online face verification helps in speeding up the authentication by giving machines the ability to recognize human faces.

How It Works

Online facial verification works by automating the process of scanning and analysis of facial information. Algorithms of AI are used in this process, which allows the collective processing of large amounts of data at the same time. The captured information is converted into digital form, and then matched against previously gathered data to verify the person’s identity.

When considering other methods of identity verification, the efficiency is always somewhat compromised. However, online face verification leaves nothing to chance because the individual’s face itself is being analyzed. This makes it a widely adopted technology among financial institutions.

Online face verification finds uses in social media platforms like Facebook where the faces in photos are detected automatically, as well as in KYC (know your customer) systems. These systems are intended to verify potential customers of a business in order to prevent identity fraud and the subsequent crimes pertaining to it.


This technology comes as part of many services and is easily implemented in online platforms. The businesses that incorporate these security solutions just have to install APIs or respective applications from the service provider, and the rest is an automated process.

3D depth perception

3D depth perception is an integrated technology in online face verification, where the features of an individual’s face are checked in detail. The depth of the face at different points such as the contours and edges, and the small details are captured to carry out identity verification.

Liveness detection

Liveness detection is a technology that allows detection of movements such as gestures and blinking in an online interaction. This helps determine whether a real person is present or a video that is created with photoshop/deep fake software.

Texture Analysis

Similarly, texture analysis makes the use of deep learning algorithms to detect and analyze the small details from minor areas of the face, thereby differentiating between a real and a tampered photo/video.

Industrial Use Cases of Online Face Verification

Financial Institutions

Financial institutions, banks and insurance companies all need security protocols in their digital platforms. There are KYC guidelines that they must comply with, and online face verification provides a tool for doing this. KYC regulations require banks to verify the identity of their customer because they are the most obvious target of fraudsters.


Online markets always face the risks of payment frauds as the security systems being implemented are not satisfactory. Criminals are always finding out loopholes and attacking the company through their weakest links. With online face recognition, only the authenticated users become part of the system and this reduces the risk of data leaks.

Health Sector

Similarly, online face verification has been helpful in the healthcare sector. Medical records of patients, and their prescriptions are sensitive documents that need to be kept under protection. Data breaches in medical institutions often lead to monetary losses as well as health hazards to the patients. Criminals target hospitals to get health benefits such as medical insurance and also for getting drugs that are actually prescribed to someone else.

Travel Industry

Air travel is commonly used by fraudsters when it comes to crimes like money laundering, and sometimes it starts with identity fraud. For this reason, airports use online face verification in order to avoid becoming the source in aiding crimes.

Final Thoughts

To summarize, digital spaces that face the constant risk of fraud can be secured with the use of authentication measures like online face verification. The process is preferred by both the businesses, and their customers because of the ease and efficiency it provides.



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