Facial recognition technology is getting itself recognized in most industries. It is widely used by many tech giants out there for the purpose of identity verification. Facial recognition is a quick solution for verification that uses less than 2 seconds to identify the face of a person.
Many offices and businesses have deployed the face recognition system for ensuring the identity of their employees and clients. It uses face recognition technology to distinguish the faces of different users.
According to Statista, the face recognition market revenue was recorded at around $3.8 Billion in 2020 and it is expected to reach $8.5 Billion by 2025.
A Quick History of Face Recognition
Facial recognition was introduced in the early 1960s by Woody Bledsoe along with Helen Cheng Wolf and Charles Bisson who laid down the initiative of working with computers to detect human faces. They are the first to recognize the technology of working with electronic devices to receive input in the form of digital images.
Later in the 1970s, the teachings of Bledsoe were picked up by Harmon, Goldstein, and Lesk who improved the previous facial recognition system and modified the system to understand the difference between hair colors and face types, with a set of 22 new features added to the system to automate the process of image recognition.
Facial Verification: How it Works
The facial recognition process evaluates a person’s facial characteristics according to their facial features. Several new technologies are involved in the face identification life-cycle including Artificial Intelligence and associated methods such as Machine Learning.
The facial recognition system uses these latest technologies to map out different aspects of human faces, such as face geometry or shape, hair color, eye color, and the color of skin. Many improved algorithms are now even scanning the depth of the face with the help of AI.
The Face Recognition Process
- The face detection process involves an electronic device that is a camera in most cases. From the electronic device, it picks up the digital image of the user and stores it in the database of the system.
- After the image is saved successfully in the memory, the facial recognition algorithm identifies the structure of the face by evaluating different checks related to the human characteristics of the person.
- The identification process is complete when the whole face is scanned by the system, It then checks for the recognized face in its huge repository of the face-scanning system.
- The database of facial recognition can contain millions of scanned images to process the data of different users. After identifying the image of the user the facial recognition system compares the scanned item with several thousands of existing entries from the database.
- The technology differentiates the images of people and checks for a successful match from the database. After the match is found the Identity of the client is verified by the Facial recognition system.
Where Facial Recognition Technology is Utilized
In this digital world where all the traditional methods are getting replaced with technology. Face Recognition is also a handy solution for most industries today. Some of the sectors which use the facial recognition system are elaborated below:
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Quick and Efficient Way of Unlocking Mobile Phones
Many smartphone users tend to choose face recognition to unlock their mobile phones, smartphone companies are promoting the Face scan system as a secure method for user safety, Some smartphone giants like Apple even removed the other Biometric ways of unlocking their products such as fingerprint scanners.
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Online Player Verification in ESports
The KYP process is essential for most gaming firms to confirm the eligibility of the client. The Face recognition process is used by the ESports industry to identify the user with different checks of Age verification. The online document verification process is also performed with the help of the Face recognition system to identify and verify the images from the legal documents of the users.
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Offices and Business Industry
Entry without identification is now restricted in most of the offices. Facial verification technology is being utilized by many businesses and offices to manage their Employees and products. Companies manage the user data such as performance, attendance, and leaves based on this identification system.
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Crime Enforcement Agencies
Law enforcement agencies use Facial recognition to identify different people with criminal activity backgrounds. In the US more than 3000 law enforcement agencies use facial-recognition software to maintain the record of criminals.
Conclusion
The Face recognition system is an efficient way of monitoring your businesses and clients. It is an old piece of technology that is getting itself renowned in today’s world with many sectors switching towards this method of identity verification.
This fast method of recognition is handy as it recognizes the user in a matter of seconds. The system is improving day by day with a recorded success rate of over 98% in ideal conditions of lightning and exposure.
