The face mask has been hailed as the best defense against the new Corona virus disease Code 19, but its use around the world has had a strange and unexpected effect.
Before learning about it, answer a question: Do you find it difficult to recognize any of your friends or neighbors wearing face masks? If so, you're not alone. In fact, it's very difficult for facial recognition technology.
And this is the strange effect that was pointed out in a study conducted in the United States.
A study by the US National Institute of Standards and Technology (NIST) found that commonly used face recognition computer algorithms make 5 to 50 percent of face recognition errors behind face masks.
In particular, every black mask forces these algorithms to make more mistakes, and the more the nose is hidden in the mask, the more difficult it will be for the algorithms to identify the face.
"With the epidemic, we need to understand how effective facial recognition technology is in front of people wearing face masks, and that's why we worked on it, and now we're working on algorithms that Masked faces will be able to help with accurate verification.
Facial recognition algorithms usually check the distance between the limbs on the target's face.
Face masks make it harder for algorithms to work when the mouth, snout and nose are hidden, facial recognition technology in the iPhone works a little differently than computer algorithms, including depth sensors. Was used for added security so that the camera could not be deceived by any image.
Well, it has long been thought that face masks make facial recognition technology difficult, but research has shown that.
The NIST is a U.S. government agency that analyzes the accuracy of such algorithms and classifies them accordingly.
In fact, the widespread use of face masks has troubled US Homeland Security because most of its security operations depend on various facial recognition systems.
However, this is good news for organizations that insist on the privacy of people who continue to criticize governments around the world for developing such systems.
On the other hand, companies that develop facial recognition technology are also adapting to it and are designing algorithms that can only recognize faces with the naked eye.
