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Face Recognition Technology in Common Language

Dawar Fuad 14/3/2021



Have you ever thought why your face lock on your smart phone does not confuse you with your brother or sister although you have very common facial features?

Facial recognition is a way of identifying or confirming an individual’s identity using their face. Facial recognition systems can be used to identify people in photos, videos, or in real-time.

Asking this question should help us bypass the daily routine of just using the technology and it should make us deeply question the core functioning aspect of the functioning aspect.

Before going more into the details of the technical of how the technology works, we should be able to know what is face recognition technology, in which area it is primarily being used, and how does it work.

“Facial recognition is a way of identifying or confirming an individual’s identity using their face. Facial recognition systems can be used to identify people in photos, videos, or in real-time.” This technology lately has been used widely for security applications. Since government agencies contribute millions of dollars as investment, the security application of face recognition has bypassed all other fields. Furthermore, with the massive processing power and the power of Artificial Intelligence technologies, face recognition has stepped into a totally new area of development and growth in the last decade.

Also, from an end customer point of view, it has widely been adapted in consumer-driven products, such as social media platforms, smartphones, various software applications, etc. Those systems have been massively influenced by embedding face recognition in their core functions.


Since we know what face recognition technology is, now it is the time to ask, how this technology works. To define it in an easy and common language, face recognition follows three basic steps of functioning.

First, there should be a photo or video of the face that the system wants to identify.

Second, the software measures a variety of facial features on the captured photo or video. The facial features are called nodal points. The nodal points include the distance between eyes, width of the nose, depth of eye socket, distance from forehead to chin, etc. It is expected for a face recognition application to get more than 80 nodal points on just one face. It is the power of these unique nodal points that everyone is identified without confusing it with someone else.

Lastly, the collected information about the nodal points then is converted into a unique signature using complicated mathematical formulas. Also, the generated signature can be stored in the database alongside with other people’s signatures.


What is left to be mentioned about face recognition technology is that face identity is a very private information for every individual, however, with the massive advancement of the technology, real-time face recognition is a very widespread concept almost in every part of the world. The question is how normal it is for a party to collect your face identify while you are getting on a public bus during going to work.