Technological interventions in the fields of biometrics and facial recognition have set new innovations in the domain of artificial intelligence. Nowadays, it is implemented in various applications and industry verticals, from unlocking devices to criminal detection. The face recognition technology can be used to identify or authenticate a person. In just a few seconds based on their facial features; therefore gaining better advantage palm print or fingerprint. One of the significant benefits of Facial recognition is that it doesn't need any human interaction.
New York's bid to identify road-going terrorists with facial recognition isn't going very smoothly so far. The Wall Street Journal has obtained a Metropolitan Transportation Authority email showing that a 2018 technology test on New York City's Robert F. Kennedy Bridge not only failed, but failed spectacularly -- it couldn't detect a single face "within acceptable parameters." An MTA spokesperson said the pilot program would continue at RFK as well as other bridges and tunnels, but it's not an auspicious start. The problem may be inherent to the early state of facial recognition at these speeds. Oak Ridge National Laboratory achieved more than 80 percent accuracy in a study that spotted faces through windshields, but that was at low speed.
Facial recognition technology is generating lots of excitement. Yet, it is also very controversial around issues like privacy, reliability, possible bias and lack of regulation. As a result, businesses must beware of the potential disadvantages of facial recognition. There is much criticism about the use of facial recognition technology. Thus, interest groups tend to be very opinionated about it.
AND THEN there were three. Amazon has joined Microsoft and Google in supporting regulation of facial recognition technology, and it is easy to guess why: Research on bias in the software has amplified public skepticism, and legislators are starting to take note by proposing restrictions and even bans. Facial recognition technology could have many beneficial effects. The software could help stop human trafficking, reunify refugee families and make everyday services -- from banking to paying for groceries -- safer and faster. But it could come with costs, too, which is why regulators are right to pay attention.
Photos of people's faces are routinely taken from websites to help develop face recognition algorithms, without the subjects' consent, a report by NBC reveals. The latest example: In January IBM released a data set of almost a million photos that had been scraped from photo-sharing website Flickr then annotated with information about details like skin tone. The company pitched this as part of efforts to reduce the (very real) problem of bias within face recognition. However, it didn't get consent from anyone to do this, and it's almost impossible to get the photos removed. Dirty secret: IBM is far from alone.