Face Recognition Deep Learning – Robust And Secure

Facial recognition has become an essential tool to authenticate the identity of customers. At present time, it is utilized by multiple industries to prevent identity thefts. It is used by airport authorities to screen passengers and to detect fraud in travel visas and passports. Law enforcement agencies employ it for scanning the criminals’ data and banks deploy it to ensure the security of clients.

What Is FacialΒ  Recognition Mechanism?

Facial recognition is a biometric authentication measure that identifies the end-user from live selfies or videos. It collects, extracts, and then matches the unique facial features of the end-users.


Significance Of Online Facial RecognitionΒ 

In the current era, when identity frauds are on the rise, facial recognition technology can play a major role in the prevention of fraud. Advanced AI-based facial recognition technology ensures a high level of accuracy in real-time. and matches unique facial characteristics. Various companies and industries can utilize face recognition technology to reduce the risk of identity fraud to a much higher extent.Β 


Given below are the benefits that facial recognition provide for businesses:


Enhanced Security

The face biometric recognition technology facilitates corporations to detect fraudsters and trespassers. Businesses can utilize it as a security mechanism for minimizing identity thefts.


Swift Processing

Facial recognition software identifies the end users’ faces within seconds. To prevent hacking and cyber attacks, businesses must employ this type of multilayered technology to secure the system.


Seamless Integration

Many facial recognition solutions are integrated easily with the existing security system, which implies that companies won’t need to spend an additional cost for integration.


How Facial Recognition Technology Works?

Add a line or two about facial recognition and thenΒ  write its process

Facial Detection

The face image of the end-user is detected and captured from a live selfie or video.

Facial Analysis

The system extracts the unique facial properties of the face. After that, it matches the image with others in the database. The system compares different characteristics of the face that include space of cheekbones and distance between the eyes.

Conversion Of The Image To Data

In this step, the facial analysis is transformed into a machine-readable form known as face print.

Face Matching

In the end, the faceprint or machine-readable code is matched with other faceprints in the systems’ database. The database contains the images with identity information, that is compared.

How Effective Is Facial Recognition Technology?

Can facial recognition mechanisms be bypassed? It is the concern of many people. With time, facial recognition has become highly advanced. Facial recognition is cost-effective and more accurate than other biometric ID verification systems.


Use Cases Of Facial Recognition

An online facial recognition solution is utilized to identify and authenticate end-users with the use of unique verifiable information specific to the customer. In this age, facial recognition technology is used in different places and by various industries for several purposes. Let’s have a look at few common examples given below:

Tracking Missing Persons

In many countries, online facial recognition technology is used to find missing children and human trafficking victims. When missing entities are added to the database, it will become more convenient for the security agencies to locate the missing people.

Avoidance From Shoplifting

Companies use face recognition cameras during checkout to detect shoplifting and other scams. It helps them to check whether any individual has shoplifted any product from the store or not. It also identifies if the shoplifter has visited the store earlier.

Preventing Underage Sales

Alcohol and bar shops in the UK employ face recognition mechanisms to verify that the age of the customer is above the legal age limit for purchasing alcohol and adult-oriented products.Β 

Customer Verification In Banks

banks are utilizing online face recognition technology to validate their customers. With this mechanism, clients can log in to their banking mobile apps securely.

Protection Of Data

Many smartphone applications use face recognition deep learning-based technology to protect sensitive data. These applications require a facial scan to access confidential data.

Forensic Investigation

Deep learning facial recognition solutions play a vital role in forensic investigation. It identifies individuals through video recording and security footage. It recognizes unconscious and dead people at the crime scene.Β 


With the combination of advanced technologies such as machine learning and artificial intelligence, online facial recognition mechanisms deliver better results than humans. Whether you need to verify your customers or end-users remotely through a live selfie or video, face recognition will provide accurate results. Face recognition software should be used by businesses to verify their customers’ identities. To lower the drop-off rate, the AI-based system provides stronger authentication without credential stuffing. Because liveness detection keeps scammers at bay by rejecting bogus login attempts, many firms are using facial recognition technologies.

To guarantee that the onboarded consumer is valid, the system performs several authenticity checks such as 3D depth analysis, microexpression analysis, and AI mapping algorithms. To avoid fraudsters, the automatic system easily detects 3D masks, screenshots/printed/eye cut photographs, and replay video attacks. Facial recognition software avoids the need for accounts, allowing businesses to easily integrate new consumers. For identification purposes, including unlocking a cellphone or logging into a social media account, the user simply needs to reveal his face in a live camera. Face verification services driven by AI have revolutionized the way consumers’ credentials are protected with password-based registration. For the sake of KYC compliance, biometric facial authentication for ongoing KYC assists businesses in keeping track of their customers’ continuous actions. It also makes it easier for firms to monitor and maintain and stay competitive.

Businesses can now use current identity verification services to check their client’s thanks to technological advancements. To establish a trustworthy B2C connection, all firms must first authenticate the identity of their clients. Businesses are under a lot of stress as a result of the rise in online fraud and the tightening of regulatory standards. One of the most extensively utilized Artificial intelligence Email verification solutions among enterprises is face verification. The international demand for face detection is anticipated to reach $8.5 billion by 2025, per the industries & markets.



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