The attack on the US Capitol happened on 6 January, but photos, videos, and news are still surfacing. Over 400 people have been arrested so far, but at least one of the suspects was caught thanks to Instagram. The FBI used photos and videos from his girlfriend’s Instagram and identified the man with some help of facial recognition.
Facial recognition can be used for good causes, but very often it’s not. You can bypass it by wearing masks or using lasers, but there’s now a way subtler tactics. A team of researchers from the University of Chicago has created Fawkes, the system that confuses facial recognition while still making you look as you. So if you’re concerned about facial recognition software scraping your public photos, Fawkes is free for you to download and use.
Facial recognition technology has been causing quite a stir for a while now. While some are paranoid about it, others find it to be useful, life changing even. Well, now there’s a new website to be either paranoid or thrilled about. PimEyes allows you to upload just one photo of a person, and it will analyze the internet to see where else this person’s photos have been published.
Facial recognition is an incredibly useful consumer tool for organizing our burgeoning photo albums. Companies like Google and Apple have slowly integrated machine learning algorithms into their consumer photo products, which allow you to search by keywords without the need for manual tagging, or to simply click on a face to see more photos of that person.
Facial recognition and video surveillance can have different applications, both good and bad. But government officials in a Chinese city decided to use it for the latter. They photographed people wearing pajamas in public and announced their photos to shame them. And as if that weren’t enough, there were also names and other personal data published along with the photos.
If you have ever uploaded a photo to Facebook, you know that its image recognition tech automatically suggests tags of people. This feature was set to default, but Facebook announced yesterday that it will no longer offer tag suggestions when you upload a photo. In other words, its facial recognition will no longer be set to default.
On 18 May this year, Taylor Swift’s fans could watch rehearsal clips at her concert at Los Angeles venue Rose Bowl. The clips were played at a special kiosk, but mesmerized fans had no idea that their photos were being taken by a facial recognition camera. The photos were cross-referenced with a database in Nashville, all in order to spot stalkers in case they appear at the concert.
There are several ways to control your drone. DJI lets you do it with hand gestures and by turning your head. But robotics scientists at British Columbia’s Simon Fraser University suggest an alternative method. They are exploring the possibility of controlling the drone with a series of facial expressions. They demonstrate the technology in a paper and two videos, and it looks like a pretty interesting idea.
Google’s Art & Culture app has an amusing new feature. If you take a selfie within the app, it finds your look-alike in a work of art. Google compares your face to over 70,000 artworks in their Art Project database and then tries to find your doppelgänger. Sometimes the results are stunningly accurate. But at other times they’re just hilarious.