deepfake hi vs ai

Facial Recognition: Worries About the Use of Synthetic Media

In 2019, 4.4 billion internet users were connected to the internet worldwide, a rise of 9% from last year recorded by Global Digital 2019 report. As the world shrinks to the size of a digital screen in your palm, the relevance of AI-backed technologies can hardly be overstated. Mobile applications took over marketplaces; cloud storage replaced libraries, and facial recognition systems became the new ID. 

On the flip side, this has also exposed each one of us to a special kind of threat that is as intangible as its software of origin: the inexplicable loss of privacy. 

AI-powered surveillance, in the form of digital imprints, is a worrying phenomenon that is fast taking center stage in technology conversations. Facial recognition is now closely followed by facial replacement systems that are capable of thwarting the very basis of privacy and public anonymity. Synthetic media, in the form of digitally altered audios, videos, and images, are known to have impacted many in recent times. As the largest threat to online audiovisual content, deepfakes are going viral, with more than 10,000 videos recorded to date. 

As inescapable as facial technology seems, researchers have found a way to knock it down using adversarial patterns and de-identification software. However, the onus falls on the enablers of technology who must now outpace the rate at which preparators are learning to abuse facial recognition for their own interests. 

Trending Facial Recognition Practices 

Your face is your identity. Technically speaking, that has never been truer than it is today. 

Social media, healthcare, retail & marketing, and law enforcement agencies are amongst the leading users of facial recognition databases that stock countless images of individuals for various reasons. These images are retrieved from surveillance cameras embedded with the technology, and from digital profiles that can be accessed for security and identification purposes. 

As a highly controversial technology, facial recognition is now being subjected to strict regulation. Facebook, the multi-billion dollar social media giant, has been penalized for its facial recognition practices several times by legal authorities. Privacy Acts accuse it of misusing public data and disapprove of its data collection policies.

In popular use is Facebook’s Tag Suggestions feature using biometric data (facial scanning) to detect users’ friends in a photo. Meddling with the private affairs and interests of individual Facebook users, the face template developed using this technology is stored and reused by the server several times, mostly without consent. While users have the option to turn off face scanners at any time, the uncontrolled use of the feature exposes them to a wide range of associated threats. 

Cautions in Facial Replacement Technology

 

As advanced as technology may be, it has its limitations. In most cases, the accuracy of identification arises as a leading concern among critics, who point to the possibility of wrongly identifying suspects. This is especially true in the case of people of color, as the US government has found them to be wrongly identified by the best facial algorithms five to ten times higher than whites. 

For instance, a facial recognition software, when fed with a single photo of a suspect, can match up to 50 photos from the FBI database, leaving the final decision up to human officials. In most cases, image sources are not properly vetted, further dampening the accuracy of the technology underuse. 

De-identification Systems

 

Businesses are rapidly integrating facial recognition systems for identity authentication and customer onboarding. But while the technology itself is experiencing rampant adoption, experts are also finding a way to trick it. 

De-identification systems, as the name suggests, seek to mislead facial recognition software and trick it into wrongly identifying a subject. It does so by changing vital facial features of a still picture and feeding the flawed information to the system. 

As a step forward, Facebook’s AI research firm FAIR claims to have achieved a new milestone by using the same face replacement technology for a live video. According to them, this de-identification technology was born to deter the rising abuse of facial surveillance. 

Adversarial Examples and Deepfakes

 

Facial recognition fooling imagery in the form of adversarial examples also have the ability to fool computer vision systems. Wearable gear such as sunglasses has adversarial patterns that trick the software into identifying faces as someone else, as found by researchers at Carnegie Mellon University. 

A group of engineers from the University of KU Leuven in Belgium has attempted to fool AI algorithms built to recognize faces, simply by using some printed patterns. Printed patches on clothing can effectively make someone virtually invisible for surveillance cameras.

Currently, these experiments are limited to specific facial software and databases, but as adversarial networks advance, the technology and expertise will not be limited to a few hands. In the current regulatory scenario, it is hard to say who will win the race: the good guys who will use facial recognition systems to identify criminals or the bad guys who will catch on to the trend of de-identification and use it to fool even the best of technology? 

AI researchers of the Deepfake Research Team at Stanford University have delved deeper into the rising trend of synthetic media and found existing techniques such as erasing objects from videos, generating artificial voices, and mirroring body movements, to create deepfakes. 

This exposure to synthetic media will change the way we perceive news entirely. Using artificial intelligence to deceive audiences is now a commonly learned skill. Face swapping, digital superimposition of faces on different bodies, and mimicking the way people move and speak can have wide-ranging implications. The use of deepfake technology has been seen in false pornography videos, political smear campaigns and fake news scares, all of which have damaged the reputation and social stability. 

 

Deepfakes

Humans Ace AI in Detecting Synthetic Media

 

The unprecedented scope of facial recognition has opened up a myriad of problems. Technology alone can’t win this war. 

Why Machines Fail 

 

Automated software can fail to detect a person entirely, or display improper results because of tweaked patterns in a deepfake video. Essentially, this happens because the machines and software understand faces can be exploited.

Deep learning mechanisms, that power facial recognition technology, extract information from large databases and look for recurring patterns in order to learn to identify a person. This entails measuring scores of data points on a single face image, such as calculating distance between pupils, to reach a conclusion.

Cybercriminals and fraudsters can exploit this weakness by blinding facial recognition software to their identity without having to wear a mask, thereby escaping any consequence whatsoever. Virtually anything and everything that uses AI solutions to carry out tasks are now at risk, as robots designed to do a specific job can easily be misled into making the wrong decision. Self-driving cars, bank identification systems, medial AI vision systems, and the likes are all at serious risk of being misused. 

Human Intelligence for Better Judgement

 

Currently, there is no tool available for accurate detection of deepfakes. As opposed to an algorithm, it is easier for humans to be prepared to detect altered content online and be able to stop it from spreading.  An AI arms race coupled with human expertise will discern which technological solutions can keep up with such malicious attempts. The latest detection techniques will, therefore, need to include a combination of artificial and human intelligence. 

By this measure, artificial intelligence reveals undeniable flaws that stem from the abstract analysis that it relies on. In comparison, human comprehension surpasses its digital counterpart and identifies more than just pixels on a face. 

As a consequence, the use of hybrid technologies, offered by leading identification software tackles this issue with great success. Wherever artificially learned algorithms fail, humans can promptly identify a face and perform valid authentications. 

In order to combat digital crimes and secure AI technologies, we will have to awaken the detective in us. Being able to tell a fake video from a real one will take real judgment and intuitive skills, but not without the right training. Currently, we are not equipped to judge audiovisual content, but we can learn how to detect doctored media and verify content based on source, consistency, confirmation, and metadata. 

However, as noticed by privacy evangelists and lawmakers alike, the necessary safeguards are not built into these systems. And we have a long way to go before relying on machines for our safety. 

 

Facial Recognition Technology Behind The Curtains

Facial Recognition Technology – Behind The Curtains

Business competition has made security technology critical. There are many innovative security technologies, but facial recognition technology is perhaps most productive in this regard. It is a low budget technology that greatly improves security. It’s the fastest and most widely used biometric authentication system.

Facial Recognition Technology and How Does It Work?

Face verification has been widely used in many ways, whether to solve a crime or open doors. It has always been in fiction and Sci-Fi movies. It’s verily the fastest biometric technology with the purpose of identification of human faces.

The mathematical algorithms of biometric facial recognition follow several stages of image processing, which are:

  • Capture: The first step is to collect a sample of physical or behavioral conditions during a given time period.
  • Extraction: After this, all the gathered data should be extracted from samples to create templates based on them.
  • Comparison: After the extraction, the collected data is compared with the existing templates.
  • Matching: The last step of face detection technology is to make a decision based on whether the facial features of a new sample are matching with the one from a facial database or not. It usually takes just seconds.

Face Verification Technology- Good or Bad?

Technologies are not always accepted and welcomed so is the case of face recognition technology. The use of facial recognition technology has already triggered a heated debate on whether it’s necessary to combat crime or an unlawful breach of privacy. People on one side enjoy how it has eased their lives in many ways, on the other, they have concerns about their data being misused.

Pros of Face Verification

Integration Process is Easy

Most times, face recognition tools work flawlessly with the existing security software that companies have installed. And they’re also easy to program for interaction with a company’s computer system. Why is it great for business? Businesses won’t need to spend extra money and time on redeveloping their own software to make it suitable for Face Recognition Technology integration. Everything will be already adaptable.

High Accuracy

These days, the success level of face verification technology became higher than before. Thanks to the assistance of 3D facial recognition technologies the process of identification happens to be incredibly accurate and showing great results. It’s possible but difficult to fool it. Accuracy promises that there will not be any misunderstandings that come from bad face recognition software. 

No Contact Required

Face recognition is now lodged over fingerprint scanning because it does not require any contact process. People don’t have to worry about the potential drawbacks related to fingerprint identification technology, such as dirty hands. 

Robust and Fast

With the ever-increasing demand for speed and growing number of cyberattacks, having fast and accurate technology is key. Facial recognition technology provides quick and convenient verification. It is very difficult to fool face recognition technology, which prevents scams.

Full Automation

Manual recognition is done by security guards or the official representatives outside the company’s premises. Whereas the facial recognition tech automates the identification process and ensures it is errorless every time. You won’t even need an employee to monitor the cameras 24/7. Automation means convenience and reduces the expenses too. 

Cons of Facial Recognition Technology

High Costs Required

It requires top-quality cameras and advanced software which obviously are expensive. However, there are predictions that technological advancements are likely to reduce the prices of facial recognition systems in the future. 

Huge Data Storage

This technique requires video and high-quality images that take up a significant amount of storage. This leads organizations to use numerous computers to process everything and to do it quickly, which is not very convenient.

Changes in Appearance and Camera Angle

Any major changes in appearance, including weight changes or piercing, can throw off the technology. In these instances, a new picture is required because technology fails at this. A camera angle can also cause issues in identifying a face.

Facial Recognition Technology- Banned Due to Privacy Concerns

There have already been privacy concerns related to face verification technology. In recent news, according to new laws, the Victorian Government has banned schools from using facial recognition software in classrooms until or unless they have permission from parents, students and the Department of Education.

A German minister has Seek Facial Recognition for Airports and Railway Stations. The installment of such cameras and technology has received a lot of backlash from lawyers and groups that feel that it will compromise the privacy of individuals. However, the Interior Minister of Germany, Thomas de Maiziere, has strongly defended this innovation and stated that the security of public places can’t be compromised under any circumstances.

We Can’t Stop The Tide – But We Can Manage It

Face recognition software is becoming widely adopted in many sectors across the globe. Concerns related to privacy may slow down the adoption in a few areas but the tide has come in and is changing business practices across the world. But who is managing and regulating the software? The government will surely have a role but they need to be well aware of the best practices worldwide. Biometric Institute advice on best practices as well as privacy concerns.

This technology can reduce the costs of necessary compliance as well as free up our time as demonstrated by smart gates installed at airports. 

As with all new technologies, face recognition raises legitimate concerns. Constructive policies and dialog are the preferred way forward to gain the maximum benefit for society at large, and to make sure they do the least harm.

People have concerns regarding commercial face recognition technology which is quite unreliable unless the person cooperates to give his photo by standing still and looking directly at the camera like SmartGate. This is quite different from non-cooperative recognition of persons without their knowledge using surveillance cameras on which people have concerns. That is why cooperative face recognition systems are well-accepted by the public at the borders, and privacy has been carefully considered in their design.

Facial Recognition A Technology for Online Businesses to Prevent Fraud

Facial Recognition: A Technology for Online Businesses to Prevent Fraud

Today, biometric technology has traditionally established itself and has become an integral part of the security sector. Facial recognition among all biometrics is an active expansion at an industrial level. It is estimated that facial recognition technology will be generating a revenue of $9.6 billion by the end of 2020 along with the CAGR i.e. Compound Annual Growth Rate of 21.3%. In the IT industry, facial recognition technology is estimated to grow with a CAGR of 3.3% by 2020. With the increasing demand for AI-based technologies, facial recognition is more specifically contributing to security assistance and solutions.

The ability to visualize and recognize facial features is an imperative aspect of life. With the facial recognition technology, we can not only identify the faces we know but also can authenticate the ones we have never seen before to be aware of the possible perils. This technology is a complicated process that uses the knowledge that compares a number of faces to each other. Facebook, a social networking platform is using this technology to label people in the photographs, smartphones have an advance system of unlocking i.e. face unlock, banking and financial institutions are employing it to verify their onboarding customers in order to proceed them with the transaction, face recognition cameras are installed in the streets which police is using for mass surveillance to detect the criminals. Not only this, a large number of other industries are taking leverage of this intriguing technology. 

Facial Recognition: Future of Biometrics

Among all the common biometrics which include fingerprint scanning, iris, and retina scanning, hand geometry and patterns, facial recognition is a ground-breaking discovery that is leaving no stone unturned. It is covering a large number of industries with its innovative use-cases that were not even thought before. The lucrative opportunities of this technology admire the business owners to integrate it within their system to streamline them and robust the onboarding process. Not only businesses but consumers are also availing a better user experience as they now do not need to manually enter a huge set of information to prove their identity.

Online Industries Taking Advantage of Facial Scanning

Facial recognition technology is infancy innovation as compared to other biometric authentication mechanisms. The reason is the potentiality level of this technology that is providing incredible safety across a broad range of global verticals. Online businesses are taking leverage of this technology to bring in transparency into their systems and avoid the possible list of fraud.

Traditional Institutions

The traditional institutions which include banks, financial institutions, insurance, and investment companies need to ensure KYC and AML compliance at their end. Face recognition technology can facilitate the online portals and traditional systems to identify and verify their customers to fulfill Customer Due Diligence (CDD) requirements. Also, to vet the onboarding identities, IPO drives can streamline their online processes and can use this technology for investor verification. 

Financial institutions are the main target of online fraudsters where they exploit vulnerabilities in the system and perform malicious activities using fake identities. Face verification can help authenticate the user using supporting documents and evidence that are enough to verify a particular identity. Also, this will help eliminate the engagement of PEPs into the financial sectors. 

Digital Businesses

The global regulatory authorities are imposing strict regulations for digital businesses to tighten their KYC and AML compliances within the business. For this, all businesses are obliged to comply with the local regulators to fulfill diligence duties by scrutinizing the traders, freelancers, end-users, customers, etc. through digital identity verification. Online forex brokers, financial stock traders, digital banking, FinTech, and the freelance marketplace can utilize facial recognition technology for user verification. Facial scanning is a real-time solution for the online identities for identification and verification of facial features in seconds. This facilitates not only the digital businesses but online customers while providing them a streamlined user experience.

E-commerce

The online marketplace has a high risk of online fraud and payment scams. The online marketplace includes online stores and brands that sell goods online and have different payment methods. Scammers find out and the loopholes and try to fraud the system in one way or the other. 

Online payment facilitators can utilize embedded digital facial biometric technology to combat payment fraud. When the customer proceeds to payment or cart items, through online face verification, the identity will be verified in real-time against the picture on id card or any similar supported document. This will help reduce the likelihood of a fraudulent transaction.

Another use-case of facial recognition technology in e-commerce is the age verification of the under-age community to refrain them buy age-restricted online goods. This can be done by examining the facial features through innovative technology and providing the status of accepted or rejected. In this way, a business can prevent itself from the risk of heavy fines and reputational damage.

Travel and Hospitality

The inclination of the travel industry to online identity verification is rising rapidly. Air and sea travel companies are using digital ways to verify customers while providing them streamline customer onboarding experience. Not only this, for online hotel bookings and accommodation, online face verification can help in verifying the customers easily.

This is a supreme solution for both consumers and businesses that help them cater to large traffic of passengers easily. In the travel industry, there are high chances of fake identities and identity theft cases, to prevent a business from such scammers, face verification can help reduce the risks of identity fraud by authenticating the identity particulars while online bookings and confirmations.

Health and Medicare

In the healthcare industry, hospitals, and medical insurance companies, identity verification holds crucial importance. The threats of false insurance claims and false identities should be catered digitally to avoid fraudulent identities from ruining the online systems and stealing the identities of patients. 

Healthcare professionals tend to spend energy and time to manage the patient’s records, access them and retrieve them, facial recognition has covered it efficiently. That valuable time can be spent to deal with emergency situations. Keeping sensitive data of patients is a crucial task that can be done through biometric face verification. Hospitals can identify the patients through facial recognition and can verify against the picture on the hospital supported documents. In this way, no fake identities can fraud and avail hospital services. 

Entertainment

Social networking and gaming industries can introduce transparency into their system using facial recognition technology. Age sensitive gaming and social media platforms can verify the age of the user by verifying the facial patterns and features of each onboarding customer. No under-age community could be able to enter into the network which is age-restricted and the identity will be authenticated at the time of registration.

Recruitment Companies

For the online verification of employ with past experience and education credentials, facial recognition technology can be used. A user can upload a live picture that can be then verified against the provided documents to authenticate the true identity. Also, for remote hiring, employ can be easily authenticated. This is highly beneficial for companies that lack the electronic signature capability and find traditional email not enough for recruitment purposes.

In the education sector, schools and colleges can adopt facial recognition technology to keep track of the records of their students. This would be easy to manage, process and retrieve the student data i.e. health record, academic record, personal identity, etc. in an efficient manner.

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Facial Recognition

4 Reasons why Facial Recognition is Better at Biometric Verification than Fingerprint Scans

4 Reasons why Facial Recognition is Better at Biometric Verification than Fingerprint Scans

Biometric verification is smartphones was introduced nearly five years ago when iPhone launched its fingerprint scanner in 2013. At the time the technology seemed like a thing from the future, and everyone eventually rushed to follow pursuit. It was one of the things about the iPhone that was negligibly scrutinised. Now, five years later, it seems like a necessary security feature for smartphones. Fast forward four years and iPhone X beats everyone to the punch on Facial Recognition.

The Face ID feature in iPhone eliminated the need for a fingerprint scanner, enabling users to unlock their phone without doing anything. Now nearly every new smartphone in the market has a face recognition feature. Although the race is not about face recognition vs fingerprint scanners, it does seem appropriate to discuss the pros and cons of the two methods for biometric verifications.

Fingerprint Scanner – A thing of the Past?

It is no rocket science that fingerprint scanners use a person’s fingerprints to grant them access to their phones. However, like every technology, the fingerprint sensors have their advantages and disadvantages. On the plus side fingerprint scanners are easy to use and saves users the trouble of remembering a password. Fingerprints are unique for everyone and are hard to deceive.

On the downside though, the accuracy of a person’s fingerprints is reduced when someone gets dirt or grease on their fingers or the scanner. The scanner is unable to read the fingerprint in such situations unless you clean your fingers or the scanner (or both). The cost of fingerprint technology is considerably higher as it requires both unique hardware and software. Most mobile manufacturers who are not Apple or Samsung are unable to afford the added technology. Moreover, a person has to actually have physical contact with their phones in order to unlock their phones through fingerprint tech. Not to mention the fact that not everyone can have a fingerprint, or may lose them due to an accident.

Facial Recognition the Future of Biometrics

Facial recognition software is relatively new in smartphones as compared to fingerprint scanning. The software uses flood illuminator technology to identify 80 nodal points on your face and stores the unique features of a person’s face to store it as a face print. Every time you reach for your phone the camera identifies your faceprint and unlocks the phone, and that is it.

There are numerous advantages to Facial Recognition technology, the least of which is its sleekness. Some of the reasons facial verification is better at biometric verifications than fingerprint scanners will be discussed here;

Facial Recognition the Future of Biometrics

Affordable

Unlike fingerprint scanners, facial verification requires no foreign or additional hardware to install onto a person’s phone. Normal smartphone cameras work just fine with the technology. The phone doesn’t have to have a high-end camera There are hardly any smartphones these days without a front camera. Therefore, all a mobile phone company has to do is invest in a facial recognition software.

Remote Verification is Possible

The facial verification feature in phones, tablets and PCs allows for remote verification. In that, it only requires you to show your face in front of the camera and the scanner will do its work to unlock your device. You do not have to pick up your device or do anything for that matter.

Ease of Use

On most devices with a facial recognition feature, the face verification can take place seamlessly. It is fast, effortless and efficient. It has been a breakthrough in biometric authentication. Analysts say that the ease with which face verification grants people access to their devices makes the thought factor behind the whole process vanish. That is, when you get used to the tech, you pick up your phone and you swipe up without much thought. This tech is also easily integrated into authenticating apps and passwords with ease. They are superior in every device and are simpler than

Security

A lot of arguments have been raised about the issue of security with the facial verification feature in devices. However, in many ways, the facial id feature in devices only increases the level of security without compromising it. Facial Id verification has a high acceptability rate than fingerprints. They are also universal in nature as every person has facial features but not everyone has fingerprints. Moreover, when it comes to the tradeoff between ease of use and security. Facial id eliminates this tradeoff.

Facial Recognition is fast and secure. It allows many businesses to verify their customers within seconds and can eliminate the threat of identity fraud. Shufti Pro is providing biometric identification through a seamless facial recognition software. Through its 3D depth perception and liveness detection, the software eliminates any risks of spoof attacks. It is next to impossible to defraud it as it sees past any attempts to do so.

Online Facial Recognition

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 Pro?

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.

  • 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 Pro facial recognition technology to provide their services to a transparent set of customers.

  1. 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.

  1. Easy to Integrate

Shufti Pro 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 Pro’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 Pro 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 Pro is ideal for businesses around the globe with a worldwide presence.

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