Face Recognition

• Facial recognition is a Biometric Artificial Intelligence based application that can uniquely identify a person by analysing patterns based on the person's facial textures and shape. 

• While initially a form of computer application, it has seen wider uses in recent times on mobile platforms and in other forms of technology, such as robotics.

• It is typically used in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition systems.Recently, it has also become popular as a commercial identification and marketing tool.

• A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source.

• There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from given image with faces within a database.

Facial Recognition Applications

Based on our assessment of the applications in the field today, the a majority of facial recognition use-cases appear to fall into three major categories:

• Security: Companies are training deep learning algorithms to recognize fraud detection, reduce the need for traditional passwords, and to improve the ability to distinguish between a human face and a photograph.

• Healthcare: Machine learning is being combined with computer vision to more accurately track patient medication consumption and support pain management procedures.

• Marketing: Fraught with ethical considerations, marketing is a burgeoning domain of facial recognition innovation, and it’s one we can expect to see more of as facial recognition becomes ubiquitous.

Uses of facial recognition technology:

•  A research team at Carnegie Mellon has developed a proof-of-concept iPhone app that can take a picture of an individual and -- within seconds -- return the individual's name, date of birth and social security number.

• The Google Arts & Culture app uses facial recognition to identify museum doppelgangers by matching a real person's faceprint with portrait's faceprint.

• Professor Shen Hao of the Communications University of China uses facial recognition technology to track students’ attendance.

• Amazon, MasterCard and Alibaba have rolled out facial recognition payment methods  commonly referred to as selfie pay.

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