AFRS -Automated Facial Recognition System

After a long dilemma and debate, in early March this year, the Indian Home Ministry has given approval to the automated facial recognition system (AFRS) for the identification of unrecognised bodies, missing children and criminals. There were several legislative and ethical concerns that had clouded the decision yet. Nonetheless once implemented and handled by right authorities under the right regulation, it will a great asset for the police force in our country.

How Facial Recognition works

Our facial features which are a set of data including our eyes, ears, nose, lips and other, comprises a unique set of biometric for each 7.7 billion of us. So how exactly facial recognition works?

Image Credit:

Your beard or makeup may fool human eyes but not AFRS. For FR, the system observes distance between the nodal points on your face, like the distance between the eyes and width of your nose. This data then converted into a digital code called your face print.

FR, since it’s development, has tackled many challenges broadly known as A-PIE problem, Ageing, Pose, Illumination, and Emotion. To address these issues 2 D face recognition has evolved into a 3 D system called Deepface. This strengthens facial recognition even when a picture is taken under completely different circumstances.


The accuracy rate in FR is almost perfect and growing better every day with each picture uploaded. There are systems that use stronger algorithms that can take your facial pores as parameters and record their positioning.

Facial recognition is a powerful method of tracking lost people or catch criminals. Then why there are civil rights activists fighting against it? Cause it can track each and every one of us. Take Facebook as an example. It has one of the strongest facial recognition systems since they have the largest dataset. Their FR recognises you in almost every picture of yours and asks if you like to be tagged.

Will there be repercussions of AFRS? Probably yes. But can we do anything to stop or avoid it? Probably not. Best way is to keep yourself updated with the advances in the field and what steps your country legislation is taking to protect your data.

Header Image Credit:


Ever since the beginning of human civilization, we are trying to reduce manual efforts by making simple to extremely complex machines. The next step in the same process is robotics and automation. Robotics and automation is a field with abundance potential. It expands its scope from household applications to solving mysteries of the Universe to curing untreatable medical conditions.

Up until the beginning of 2020, robots of any kind are made up of non-living materials. Recently scientists from the University of Vermont & Tufts University introduced Xenobots, which have unleashed a whole new Universe for this field. Xenobots are the world’s first living and self-healing microbots. These bots are designed with the help of a computer-generated evolutionary algorithm. The living cells used for its creation are skin, heart and stem cell from the African frog embryos.

These microbots are very basic in nature made up entirely from the organic substance. They can move forward, turn around, spin in circles and flip over. They are smaller than a millimetre and can travel inside the human body. Just imagine the possibilities we will have, once scientist is able to teach xenobots to do the desired task. One day they even might be able to fight cancer cells. They will be able to clear microplastics in the oceans and lots more.

But if these bots are a life form, why we are callings them robots? This is because scientists are designing them to move or work according to their wills. Like a certain arrangement for skin and heart cells in a xenobot will make it move in a straight line. While a different arrangement of the same cells will be required to move them in circular motions.

Xenobots are positively a great step. Scientists are also calling them a brand new life form on the planet. The future is unseen but is undoubtedly full of myriad possibilities.