Face Recognition Technology

Axonator uses face recognition technology to identify and verify the identity of an individual with their facial features. Analog data (like an image/picture) of an individual is converted into digital data (biometric data stored in the facial recognition software database).

Once data is captured, the facial recognition software can detect the face in images or in videos, and the data is matched/verified with the biometric data in the database and if data from the two sources match, a face is successfully identified.

How it Works?

How Axonator's Face Recognition Works

In facial recognition technology, the facial details of a person are captured. Once captured, this info is stored in a secure database of the facial recognition software. This biometric data consists of unique attributes of an individual face like the spacing of the eyes, bridge of the nose, lip contours, chin contours, among others.

 

This stored biometric data is recognizable and verifiable by the software and once any face is detected by the facial recognition software, the details of the captured face are matched with the biometric data stored within the software database to find a match. Once data is matched by the software, a face is recognized by the system.

Why Is Facial Recognition Used?

Why Is Facial Recognition Used_

Facial recognition technology has become popular since it is a non-intrusive (touchless) process to identify any individual. Individuals don’t have to go through a process of punching their thumb or any figure on any sensor to detect their fingerprints or even an iris scan of their eyes for the purpose of identification. This non-intrusive technology is used both for the purpose of identification of any individual and the subsequent verification of the identification by authenticating the identity.

Applications of Facial Recognition Technology

Facial recognition technology has vast applications. The facial recognition software used by Axonator has the ability to detect multiple faces in a crowd within dynamic and unstable environments.

Attendance App

Attendance App Face Recognition Technology

Axonator uses this powerful technology in its attendance management app, where facial recognition technology is used to let employees mark their attendance without having to touch any surface or punch any machine. Such a non-intrusive method to record attendance is highly functional and in great demand, especially in the on-going pandemic.

Visitor Management App

Axonator Visitor Management App Face Recognition

Facial recognition technology is also used in our visitor management app, where it is used in access control measures for any premises, especially in offices, public buildings, and others. The visitor management system uses the face recognition technology to identify people, track their movements in the premises, bar entry for unruly or at-risk individuals to enhance the security of a building, and protect the health of employees working there.

Future Applications Being Considered By Axonator

  • Facial recognition for logging in online platforms.

  • Payment systems, both online and in brick and mortar stores

  • Access to any locked device, like an app or a smartphone

  • Marketing and retail 

Accuracy and Trade-offs

While the facial recognition system being used is highly accurate, there may be some degree of errors in the accuracy of the system. Such kinds of errors fall into two categories, false negatives, and false positives.

 

A false negative error occurs when the facial recognition system fails to identify the individual, even though biometric information of that person is present in the database, and yet the system may not be able to detect a match, due to the angle of the captured image or the use of anti-facial recognition technology.

 

False-negative errors can be tolerated in systems where facial recognition is used, for example in a smartphone unlocking system. It is better that your phone fails to recognize your face and grant access to your phone, instead of granting access to any random system due to an error.

 

A false positive error occurs when the system mismatches the biometric data, associating a person with someone else. A false positive error rate should be minimum in systems where facial recognition technology is being used for purposes like security or law enforcement.

Privacy Concerns

Axonator places top priority on the security and privacy of user data. We implement stringent data security protocols that comply with the latest industry-standard data encryption and compliant infrastructure to prevent data leaks or unauthorized access to user data.

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Learn How Axonator Can Help You to Create an App

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Learn Axonator Mobile form builder

Learn How Axonator Can Help You to Create an App

Our team will demonstrate how to create an app and use advanced features of Axonator.