Tech

Are you Using Face Detection Technology? Here’s What You Must Know

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Face Detection Technology- How it Works, Security, and Applications

By 2025, the global face detection market could generate around USD 10.15 billion in revenue. Face detection technology is highly used in Singapore, China, Japan, and the United Arab Emirates.

Is your country ready to adopt face recognition technology?

In China, face recognition technology is helping users in tracking their medical history, providing access to various facilities, and, most importantly, authorizing payments. It’s now expanding in the areas of retail and marketing!

With the advancement in technology, computers are progressing incredibly in recognizing faces. Undoubtedly, it triggers the development in China in the area of surveillance and security. The face recognition software tracks more than 80 points on your face and creates a faceprint that is undeniably impressive. 

People in China are using a mobile payment app, popularly known as Alipay, which uses face credentials from the information about 80 nodal points (similar to that of creating a numeric code) for transferring money.

Face Detection Technology: Areas & Applications

The facial recognition system combines a 3D camera and an algorithm based on liveness detection. Implementing strict scrutiny checks can block the spoofing attempts while ensuring complete security over the user’s personal details. The technology is in use in some residential areas to avoid trespassing attempts.

Facial recognition technology is in use in many Government sectors. The aim is to make a particular information system robust and safeguard databases that retain user-specific data. 

So far, facial recognition is the fastest biometric technology with the least intrusive procedure with the sole purpose of identifying human faces. No delays happen, and the subject remains completely unaware of the entire process.

Facial Recognition Technology- Advanced Yet Challenging

Undoubtedly, cameras have made a significant transition in the last decade. This transformation continues to innovate beyond the basic capabilities of taking images and recording video clips. Nowadays, companies are pairing camera technologies and biometric technologies for making the face detecting devices capable of identifying humans. The amalgamation will help to perform activities such as executing transactions and unlocking smartphones.  

Not only facial recognition includes digital image, but it also incorporates additional features for making the security system robust and invincible. The user needs to provide a set of gestures such as eye blink, smile, turning face towards left or right, so that the software can scan multiple facial points to identify the right person. 

Whether Facial Detection Technology is Secure Practice?

It would not be incorrect to say that face detection technology is comparatively secure than voice recognition or fingerprints scanning as it seems harder to hack. Despite delivering numerous benefits, the authentication technology faces many challenges. The security and integrity of biometric data gathered and retained in the organization’s database present another issue. 

Since a database stores the details about your facial metrics, what if the entire database gets hacked? Hackers can easily gain access to personal information, such as your name and password credentials, via various means. When it comes to the security of systems and networks, the data is always at stake.

How to Make Facial Recognition Even Better?

Two-factor authentications might help! Vulnerabilities at user authentication levels may prove to be the downfall for many organizations that have encountered malware attacks. Companies must embed adequate security measures right from the development stage to keep data secure and bypass any potential risks.

Facial recognition technology is becoming more popular in young and tech-savvy users who are keen to embrace innovations. The security system can ask consumers to enter their mobile number while scanning facial features, as this will add a layer of security. 

If used effectively and securely, facial recognition can change the pace of advancement in developing countries. However, its implementation needs a robust set-up, capable of preventing user critical data from falling into the hands of hackers or third party access.

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