How to train face recognition system to detect faces using Artificial Intelligence?

How to train face recognition system to detect faces using Artificial Intelligence?

Face recognition systems can now detect faces using artificial intelligence, which is changing the dynamics of security and record-keeping. We live in a world where technology is accelerating innovations and redefining business growth. Businesses are evolving their operations every step of the way by introducing technologies like AI, Machine learning, and Blockchain. It is a field that is both fast-moving and fascinating. One can learn artificial intelligence by studying neural networks, deep learning, computer vision, and natural language processing. These things can be learned by pursuing a course that teaches artificial intelligence basics from scratch. India, being the fastest growing economy with a population of over one billion, plays a huge role in the AI revolution. One can learn artificial intelligence in India, through various great online courses. The Artificial Intelligence scene in India is only expanding. As India’s digital footprint experiences tremendous growth, the field of artificial intelligence will only develop further. 

What Is Artificial Intelligence and how does it help?

Artificial Intelligence is a stimulation that is capable of performing tasks that ideally require human intelligence. Artificial Intelligence helps machines exhibit human traits like learning, thinking rationally and problem-solving. Artificial intelligence impacts your life everyday, whether you know it or not. If you’ve used autocorrect on your phone today or turned to Google Maps for directions, you’ve used AI. In fact, every time the internet has suggested a song or shopping ad to you, it’s your AI algorithm making assessments. Your online activity is used by AI to create recommendation systems that can learn your behavior and interests. It can then provide you with content that aligns perfectly with your interests.

Artificial Intelligence can also use its algorithms to detect fraud when there are changes in consumer behavior. Overall artificial intelligence exceeds human capabilities and saves both time and energy.

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In 2019, Microsoft launched AI Digital Labs in India in collaboration with 10 higher educational institutions in the country. Its goal is to upskill the youth, in terms of artificial intelligence, and help them uncover innovative AI discoveries.

What Is Artificial Intelligence and how does it help?
Source: Microsoft News

AI has already been integrated into most of our daily jobs, from transactions to our daily internet usage. In fact, Facial Recognition through AI is one of the most widely used security methods today. It has brought about revolutionary growth when it comes to individual identification, law enforcement, and forensics. In fact, in today’s world, AI-driven face recognition is even used to unlock one’s smartphone.

How is Artificial Intelligence used in facial recognition today?

Facial recognition today is one of the smoothest and most non-invasive methods of biometric security. Facial recognition systems are backed by deep learning, a method of AI that operates by passing inputs through simulated neural networks to process information. These networks of neutrons are trained on millions of examples of the types of problems the system is likely to encounter. These examples help the model “learn” how to identify similarities from the data accurately.

AI Facial recognition is a method of identification using individuals’ facial features. Machine learning and vision processing are the foundation of this process. However, this method is still controversial and questionable. How advanced is this technology? Is this a foolproof method of identification? How reliable is this process? To understand these concepts, one must delve into the basics of how AI facial recognition systems are trained to detect faces.

How is Artificial Intelligence used in facial recognition today?
Source:Sytoss.com

Facial recognition algorithms depend on biometric data based on facial features. A two-dimension or three-dimensional sensor uses data such as the distance between the eyes or the forehead and chin and converts the dimensional image into a vector template. The software assesses approximately sixty-eight, facial landmarks that are key to identifying your face! That means it collects a total of sixty-eight measurements between your facial features and compiles them into data. The vector template obtained, as a result, is your unique facial signature. The system then compares your facial signature to a pre-existing database of known faces that have been measured and mapped similarly. AI can also be trained to map skin texture, including the blemishes, lines, and patterns on a person’s face to another vector image. This feature improves facial recognition by an astounding 20 to 25 percent and is useful in the case of identical twins or lookalikes. 3-D facial recognition is rapidly advancing today. It is more accurate in comparison to 2-D facial recognition, and hence, preferred.

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Statistics

Automated facial recognition was first pioneered in the 1960s and has only become more advanced since then. According to the series of tests conducted by the National Institute of Standards and Technology (NIST) in April 2020, the best Facial Recognition Algorithm has an error rate of just 0.08%. This result is a considerable improvement from the 4.1% secured by the leading algorithm in 2014.

Statistics
Source: Grand View Research

The Future of AI-Based Facial Recognition

Facial recognition using AI is a concept that will only evolve in the future.  Even though, when compared to iris-recognition or fingerprint identification, its accuracy is comparatively lesser, its contactless and non-invasive technology is more appealing than both. It is easy to implement, and there is zero contact with the end-user. If its drawbacks can be addressed, and its accuracy can be improved to compete with other methods, AI can be considered as a permanent solution in various fields. In my opinion, AI facial recognition is the future of secure individual identification. 

Frequently Asked Questions

1.How Accurate is Facial Recognition Today?

According to research conducted in April 2020 by the Center for Strategic and International Studies (CSIS), Facial Recognition Technology has almost complete precision in ideal conditions. They have a recognition accuracy level of 99.7%. However, these said “ideal conditions” are hardly achievable in everyday work, and AI algorithms face different factors that affect their accuracy.

2.What is the use of facial recognition AI?

The most common use of facial recognition AI is while unlocking phones, however, it’s now been implemented to perform many other functions. Facial Recognition has been integrated with airport security systems. This is because the average processing time for each passenger is twice as fast as fingerprint scanning – and the room for passenger error is minimal. Facial Recognition is used for biometric scanning at banks, while making transactions, issuing a credit card, and even verification during online transactions. Facial Recognition AI has also been introduced during hotel check-in.

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3. How can I learn facial recognition AI? 

To learn facial recognition technology, one needs to begin learning AI from its basics. AI requires one to be able to write and understand various complex algorithms and process information. One can start by learning the basics of programming, by learning a programming language such as Python. Then one can turn to google and look for various courses. Online courses provide an easy, efficient method of getting involved in AI to see if it is actually something you would like to pursue.

How can I learn facial recognition AI?
Source: Edx.org

Featured Image Source: Maruti Techlabs

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