AI in Facial Recognition

“My name is Bond… James Bond.” Does that ring a bell? If yes, then you must remember how you felt fascinated when the door opened by recognizing the details on his face. Back then, it seemed like a miracle. But now that we have tested the waters of facial recognition, there’s no doubt that it's here to stay for the long haul.

In fact, facial recognition has made its way through fields like airport security, forensic analysis, law enforcement bodies detecting criminals, locating missing people, and surveillance systems. Not to mention, photo organization, improving medical treatments, and even shopping for makeup have become a lot easier!

If people of different ethnicities, age groups, eye color, facial structures, and other features take enough selfies and data collection companies leverage these parameters, facial recognition technology has the potential to reach unimaginable heights. Businesses can even use captured images to compare them with their own database to further enhance how the process works.?

And did we forget to mention how this non-invasive and accurate method of identity verification can be a game changer to avoid hassles during so many checks that tend to get heated up? That's right, no more random fights on getting antsy during security! Now, it’s understandable that facial recognition joining mainstream technologies can get controversial. But it’s important to realize that if you’re amped up with a quality data collection game, you can successfully avoid the manipulation of relatively sensitive technology and help instill acceptance among the masses when it comes to facial recognition.

DesiCrew's experts understand the need for the variety of data required to be fed into the algorithm and has started curating facial features from different countries, as machine learning algorithms work better with accurate datasets to avoid software misidentification. We understand that the labels are typically binary: male, female and therefore we are improving the system by training non-binary data as well.

With the help of deep learning and prominent facial recognition system, it will possible to track patients history of medication accurately while supporting pain management procedures in the health sector. The Banking & retail sector shall have less security issues with facial recognition KYC being a hot topic since 2021. Apart from this, biometric technology offers compelling solutions across different industries and the systems are convenient & hard to duplicate. DesiCrew will continue to develop and enhance the system while maximising the benefits & minimising the risks.

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