Benefits and Challenges of Facial Recognition Authentication Technology


Recognition Authentication Technology

Facial recognition authentication is in today’s limelight more than ever. Traditionally, historical affairs have resulted in an instant hike in face recognition investments. Companies are now investing in more advanced biometric technologies after COVID-19 as it emphasizes contactless interactions.


Facial recognition is the most accessible and accurate way to establish user identity in a sector-wide range.

What is Facial Recognition Authentication Technology?

Facial recognition systems identify the geometry of the user’s unique facial characteristics. This system usually uses deep-learning techniques that are more accurate as they continuously disclose various pictures of similar faces with time. For the face recognition process to operate, the software should have a tagged copy of the individual’s face for comparison. However, the research suggests that less than one-third of US users are satisfied with having their faces reviewed by private firms.

Facial Recognition Verification Benefits

Almost 4 out of 10 individuals don’t accept that organizations can manage employee details using advanced technology. Therefore, companies are stunned by how incredibly facial recognition software secures users' personal information.

1.     Efficient Security

Facial recognition is an instant, efficient, and suitable verification software compared to further biometric technologies such as fingerprints and retina scans. There are a few points that correspond to entering passwords. Therefore, it reinforces multi-factor authentication for protection purposes. It also rescues its clients from cheaters.

2.     Improved Accuracy

Face recognition is an accurate way to identify users instead of IP address or mailing. Moreover, many exchange services (cryptos to stocks) rely on this system to secure customers and their digital investments.

3.     Easier Integration

Face recognition is incorporated through security software. Android phones with front cameras have built-in support for facial recognition algorithms.

4.     Easy to Use

The software usually provides an easy way to scan thousands of faces quickly.

Why Doesn't the Client Believe in Facial Recognition Technology?

Facial recognition authentication has infinite applications, but it has a lot of risks. Following are the examples that many users need to be more confident.

False Negatives and Positives

False positives and negatives are two preliminary concerns of facial recognition technology. False positive prevails when the algorithm recognizes the wrong user. On the contrary, a false negative happens when the algorithm fails to acknowledge the right individual. These errors are usually the result of algorithmic biases that exemplify unjustified ways for one group compared to the other.

Detects Emotions

Advanced algorithms don’t just analyze the client's faces, but they also read their mind. The vendor states that emotion detection technology can easily read microexpressions to determine the subject’s emotions at any prescribed time. They also advertise its use for everything, from reading kids' emotions in school to grading job interviews, which has proved challenging. However, despite the high stakes of emotion detection, research states that emotion detection is fundamentally flawed in personal, situational, and cultural contexts. Moreover, thousands of videos now provide online tips about a system that evaluates applicants using AI software-facial analysis.

Potential Government Outreach

Facial recognition verification is used to recognize terrorists or encounter missing children, among the most valuable and practical applications. But, these software are deployed by the government globally, so they are still determining if they would use it ethically.

In India, police departments use facial recognition to screen for ‘rabble-rousers’ and film protests. In China, advanced technology monitors the activities of its minor community. London police announced it will use live facial recognition to detect street activities.

Biometric Data Breach

A biometric data breach is just like other breaches. Last year, security service providers left 27 Million records in an encrypted and unprotected database. Facial recognition and fingerprints are amongst the variety of susceptible data left exposed.


This year, a Chinese company left biometric records of 23 schools and 1.3 Million students without security. With the expansion of advanced biometric technologies, these kinds of breaches are more in severity and number.

Invasion of Privacy

In today’s world, companies can extract all user information through their face. For example, Facebook allows users to find a profile by simply pointing a camera at their face. But, this app was just in the testing phase, and they didn’t introduce this in the market.


Also, a Russian photographer verified how easily outsiders can be recognized when he took images of random people on the street and used any facial recognition app to encounter their social media profiles.


How to Overcome all these Challenges in Traditional Facial Recognition Technology?


By identifying all these challenges mentioned above, many organizations provide facial recognition solutions in the form of advanced features. These features are improved security through which data breach is controlled,  and not everyone can access private data.

Final Verdict

Undoubtedly, AI face recognition online plays a crucial role in improving business. However, for successful technology implementation, clients should trust that it is secure and accurate. Responsible deployment and improved algorithms help use biometric face recognition to protect the firm’s privacy.



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