Businesses and individuals are increasingly adopting facial recognition search technology. Online services like PimEyes face search have climbed to the top of Google results, a reflection of the interest around the subject. Although not without controversy, facial recognition search engines have many uses, from looking for stolen photos online to tracking unauthorized use of your pictures. Face recognition searches can help Lawyers, photographers, celebrities, recruiters and marketing agencies, among others. In this post, we will describe how you can upload pictures to PimEyes and search for images with similar faces on the internet.
Google Now on Tap came in with a roar, but after the initial excitement, it didn't find a place in the day-to-day use of my phone. While it was nice to be able to do a rapid-fire Google search from any screen, it usually didn't produce the kind of "wow" moments to make me a regular user, unlike when I first discovered Google Now. Some behind-the-scenes updates and more up-front features have turned Now on Tap into an essential part of how I use Android. It's become so ingrained that I often have that, "oh right, I can't do that" moment when using iOS or a desktop PC. If you're a Now on Tap newbie and would like to know more about what can be discovered, here's a breakdown of some of the most interesting discoveries.
The changes will now let you select certain text for specific search terms, conduct real-time image searches using the camera app, and make simple image searches, which vastly improves on what Google Now on Tap was previously capable of. Now, rather than having to get Now on Tap to assume which search terms you actually want, you can type in the correct terms without too much trouble. For example, if you stand in front of something like a painting or a monument you can take a photo of the item in question and have Now on Tap search for it for you. If you received the update today, you should be able to find the new feature on the Now on Tap bar, denoted by the finger icon at the bottom.
The results are in from the biggest computer face-recognition contest to date. Everyone from government agencies to police forces are looking for software to track us in airports or spot us in CCTV images. But much of this technology is developed behind closed doors – how can we know if any of it really works? To answer this question, the Intelligence Advanced Research Projects Activity (IARPA) and the US National Institute of Standards and Technology (NIST) have been running the biggest face-recognition competition to date. The Face Recognition Prize Challenge tested two tasks: face verification and face search.
Many of California's local law enforcement agencies have access to facial recognition software for identifying suspects who appear in crime scene footage, documents obtained through public records requests show. Three California counties also have the capability to run facial recognition searches on each others' mug shot databases, and others could join if they choose to opt into a network maintained by a private law enforcement software company. The network is called California Facial Recognition Interconnect, and it's a service offered by DataWorks Plus, a Greenville, South Carolina–based company with law enforcement contracts in Los Angeles, San Bernardino, San Diego, San Francisco, Sacramento, and Santa Barbara. Currently, the three adjacent counties of Los Angeles, Riverside, and San Bernardino are able to run facial recognition against mug shots in each other's databases. That means these police departments have access to about 11.7 million mug shots of people who have previously been arrested, a majority of which come from the Los Angeles system.