How Facial Recognition Works


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“In the next five years, we’ll see more in human authentication that we have in last 50”

Facial recognition system is a computer application capable of identifying or verifying a person from a digital image or video frame from a video source. Some face recognition algorithms identify facial features by extracting landmarks, or features, from an image of the subject’s face

The Tv show “Lie to me” exactly shows the working of facial recognition in action. In this series, a couple of people assist in investigations, reaching the truth through applied psychology, interpreting micro expressions though Facial Action Coding System.

The recent development in technology, tells us that in retail shops, Face recognition is used to identify a customer’s gender, age and ethnicity. It helps to track people within a mall/shop see how they’re behaving and collect their back-ground details accordingly in order to serve appropriate features and offers to the customers. Customer identities are kept anonymous and it might even benefit shopping experiences in the long run. However these all are security and privacy concerns for a particular customer and how far their data is being protected when retailers are investing considerable amounts of money into securing data and preventing data breaches.

The concerns over the government facial recognition system also involve the possibility of sharing our data with someone whom we don’t completely trust. Australia is learning this first hand, about the Private use of facial recognition sys-tems in 2018, companies would need to get your permission to use it under the Australia’s Privacy Act, but they could otherwise use it to fight fraud or otherwise verify the identities of their customers. Here, the major concern is how it’s going to be implemented. Will the particular company clearly explain the terms and conditions? Will it keep the data secure and not sell it off? Will the force customers if to use it if they want full access to the system? The first terms of facial rec-ognition must mean that it’s important to know that it won’t be hoarded or com-promised by a data breach and achieving this kind of confidence is a huge amount of work

All these shows us an outline of how the Facial recognition actually func-tions. The newest tech trend is the facial recognition is the smartphones having them to unlock instead of a fingerprint or a pattern, but can facial recognition really replace the fingerprints? With the rise of facial recognition technology, our fin-gerprints may be supplanted as the convenient biometric of choice to save us from typing in passwords; but Apple took a huge step when they decided to remove the fingerprint and replace it with facial recognition in the X edition. The reception has been overwhelmingly positive till now, although there’re some quirks with the faceID, it is said to keep growing in the upcoming years.

OnePlus’s 5T that’s been released is said to have the most fastest facial recognition, but results say that the facial recognition isn’t the safest here. But making the FaceID super secure and detailed can become a disadvantage since the legitimate owner might get rejected at times. But is facial recognition more convenient? There are certainly situations where fingerprint sensors are faster, and they don’t require us to look at our phones, but it might not be the same way as how people adapted to fingerprints when it released. FaceID is said to grow over time, that’s why Apple tells the owners of the iPhone X never to remove the FaceID from their phone else the phone might start to learn their particular face from scratch. The authentication has always been our way and we’ve controlled it so far, but it doesn’t seem most likely happening technically in the near future.

Atishe Chordia, MBA
Atishe Chordia is the Co-Founder, Head - Talent Acquisition, Operations and Growth at doodleblue Innovations, a mobile and web app development company providing creative technology solutions to its clients. He graduated from Carnegie Mellon University in Mechanical Engineering, Economics & Statistics. He has worked as a product manager at a software consulting firm in New York that builds niche technology platforms for the financial services industry. Atishe is the driving force, pioneering tech R&D efforts at doodleblue.


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