Facial recognition technology (FRT) is getting popular in today’s world. It is commonly employed by big-tech industries for the face recognition of its staff and customers. The state-of-the-art technology takes as long as 5 seconds to verify the face of the person.
There are a number of companies and corporations that use the technology to safeguard the identity of their clients. It facilitates them to detect fraudulent identities from genuine ones. As per recent 2020 statistics, the facial authentication market returns were $3.8 billion USD. the artificial Intelligence technology helps in verifying the facial features of the people.
Brief History of Online Face Verification Technology
Facial Recognition Technology (FRT) was introduced to the world by three people: Woody Bledsoe, Helen Cheng, and Charles Bisson. They were the pioneers who used different devices to successfully receive the input of human faces.
Just like with any other technology, there are people who lay its foundation and there are people who improve the basic technology. Harmon, Leak, and Goldstein were the individuals who altered the technology in order to detect the difference between multiple hair colors and types of faces.
Facial Recognition: It’s Working
The face recognition technology takes into account the facial features of a person through real-time detection, 3D face analysis, and mapping through AI.
What Is The Process Of Facial Verification?
The facial verification technology works the same way but through the use of complex algorithms. The technology makes use of data from huge storages. According to the research conducted by George town University, fifty percent of the American adult population has their face recognition data stored as a database for security forces’ convenience and search facilitation.
The process of facial recognition is as follows:
- The customer uploads a selfie or uses webcam to authenticate their face.
- The AI certifies the face using different factors e.g. liveness/real time detection, micro-expressions, 3D depth analysis and background check. In this way, the user requests authentication of their face.
- If the user sends and shows a picture in front of the camera, the state of the art sensors catch the fraud and deny access to the fraudster.
- When the user shows their genuine face, the access is granted because the algorithm checks the image on different factors e.g. texture and micro-expressions.
- The facial recognition can take place even during a video call. The face will be authenticated even durig a video call. The face will be double-checked by comparing the new image with the image present on legal documents e.g. driver’s liscence. The information can also be used for biometric consent.
Use Cases Of Face Recognition Technology
Unlock The Mobile Phones:
Facial recognition technology is used in mobiles for unlocking them just like thumbprint technology. Mobile technology companies promote the feature so that users can use a highly secure method for unlocking their devices. When we look at the example of a big tech company like Apple, the fingerprint scanner was removed from the facility. Hence, it shows that the company found the facial recognition technology to be more secure than other biometric ways.
- Player’s Facial Recognition In E-Gaming:
Facial authentication is critical in the e-gaming industry for ensuring the eligibility of the player. The information from the facial image is compared with the other documents for complete verification. Consequently, the information helps the gaming industry to identify frauds, and safeguard the staff from potential risks.
Use in the Corporate Sector
It is a great way to utilize new digital opportunities and improve the dynamic of the work. For this purpose, the technology upgrades the customer relationship experience gives security and broadens the availability of different products.
Moreover, companies rely on facial recognition technology to keep track of employee records and their products. They also use it to keep track of the performance, promotions, and attendance records of the staff members.
Effective Use in Law Enforcement Organizations
Facial recognition technology (FRT) has the capacity to boost the speed of criminal investigations, bring perpetrators to justice and prevent crimes and other violations in the future. The technology is critical for preventing unfair arrests, and violations of human rights.
The FRT technology has its pros but there are cons as well. For instance, there can be a breach of private information, violation of personal freedom, and attempts of hacking. Hence, there are imperfections in technology.
The FRT technology is a great way to keep track of clients’ data and staff members. A number of companies around the world are switching to FR technology because of its high-security levels.
The technology is getting popularity because of its swiftness, 98.67% accurate results, and anti-fraud features. With advancements in technology, the FR technology will keep getting updated and bring even faster results.
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