Online Facial Recognition Could Drive a New Wave of Digital Transparency
Online facial recognition is a much less explored territory when it comes to online identity verification and biometric authentication services. With features like anti-facial spoofing and liveness detection, facial recognition provides huge opportunities for businesses that want to ensure transparency on their online resources. There are various face recognition software available that promise impeccable performance in both onsite as well as offsite verification processes. Face recognition, working in tandem with document verification, can provide reliable identity verification service for businesses and companies that are sick of being fooled by fcial spoof attacks and frequent cases of online identity thefts.
What is Facial Recognition?
Facial Recognition technology is mainly concerned with the biological features of a person’s face and using technological algorithms to identify those features. This kind of tech comes handy for registration of first-time users or for authentication of returning users that want to access their individual accounts. In either case, a typical face recognition software checks for unique facial data that ascertains that a real person is trying to either signup or sign in on a digital platform.
How Facial Recognition Works?
Facial Recognition is a mix of various techniques that ensure the physical presence of a person in front of a computer screen or at a particular location. It also checks for attempts by online scammers to doctor facial features in order to achieve a fraudulent facial match. A technologically advanced online facial recognition system uses a combination of the following techniques:
Liveness Detection
It is the first line of defense against facial spoof attacks, with various checks put in place to ensure the physical presence of a user at the time of verification. Color textures are tested and facial images are checked for photoshop elements.
Eye Blinking – Intrinsic Face Movement
Most of the times, a user trying to get past a facial recognition process is tested against intrinsic face movement. It is obvious that such a facial verification is performed with the help of a video stream alongwith instructions being forwarded to end-user in real-time.
Depth Mapping Algorithm
This is a highly sophisticated method to differentiate a facial image printed on a page as compared to a real-face presented for online facial recognition. A system programmatically calculates the depth of various key points around the face of a user to measure depth presence, something that will be zero for a facial image printed on a piece of paper.
3D Sensing Techniques
These techniques incorporate depth mapping algorithm and contextual information methods to provide an improved analysis of a facial image received for verification. These techniques are better equipped at differentiating 2D images from 3D images.
Texture Detection
This online facial recognition technology comes handy to analyze smaller parts of the facial image. Each part is probed to detect facial patterns that help differentiate a real facial image from a doctored image.
How Facial Verification is the Future of Digital World? (Infographic)
Why Online Facial Recognition from Shufti?
The facial Recognition process is the ultimate tool to register 100% authentic and reliable customer base without fearing about online identity theft and frequent cashback requests. There are various benefits of using a Facial Recognition system for both online and brick-and-mortar businesses.
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Embrace Technological Advancement
It is always a nice gesture by businesses when they eagerly adopt new age technologies not only for better service delivery but for achieving improved customer satisfaction as well. Facial recognition for online businesses is especially crucial for better service standards as most of their competition is already thinking of introducing it for favorable online transparency. Only in the year 2018, nearly 100 global customers have come onboard with Shufti facial recognition technology to provide their services to a transparent set of customers.
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No Need of Extra Hardware
Unlike conventional biometric verification services (Iris scan & fingerprint scans), online facial recognition requires no special hardware. Smartphones and Laptops are fixed with impressive cameras these days, reducing the need for a specialized hardware to perform Facial recognition.
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Easy to Integrate
Shufti has a RestFul API and has also developed SDKs for both Android and iOS platforms to easily integrate its Facial recognition technology with that of its customers. Not a single second is wasted in downtime during the integration process. Shufti’s online facial recognition works perfectly with pre-existing software, mobile applications, and web portals.
Online transparency is the need of the hour for the business world, especially for companies with a digital footprint. It enables companies to engage with their customers on a more personal level and reduces the risk of registering users with fake credentials. Online fraud prevention and identity theft protection become easier with an online facial recognition software.
Shufti has to be your preferred choice when selecting an online facial recognition system as it requires little to no hassle during integration, uses Artificial Intelligence to protect against facial spoof attacks and even offers real-time verification results to its customers. With a presence in 200+ countries, Shufti is ideal for businesses around the globe with a worldwide presence.
