Let’s give the tool a test run to see its capabilities by using a photograph of Bato Dambaev, a Russian soldier from the Republic of Buryatia who was featured in a 2015 investigation by Simon Ostrovsky with the help of Bellingcat (watch it here). Find a face and check where the image appears online. The owners of SearchFace.ru are not known, with the site providing no information on the tool other than a feedback email address and the title of the page, “FindTwin face search demo.” Meduza and TJournal have spoken with the site’s creator, who says that he is hoping to “test” the tool with the larger reference base of VK photographs. A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. SearchFace links to the JPG file on VK’s servers without any reference to the user who uploaded the image. Some of these results are just screenshots from Ostrovsky’s documentary, others are other Buryat men who look a bit like Bato. The exception to this is with some profile photos, which have the user ID within the URL (following the letter “u”), but this is relatively rare with SearchFace results. Screen grab of demonstrators said to be radical nationalists, from a video posted by Jesuismaidan.com. Yandex, the most popular search engine in Russia, is being accused of using machine learning and deep learning neural networks to provide facial recognition services to users. Image of Bato Dambaev used in a SearchFace test. Along with our published content, we will update our readers on events that our staff and contributors are involved with, such as noteworthy interviews and training workshops. Facial emotion detection and recognition. For this, you should use Yandex, as it is a far superior reverse image search tool than Google, Bing, or TinEye. The results are as accurate as the reference material on VK: if someone has a profile on VK, there’s a good chance that they will be matched. This article has been updated to reflect their findings. It is nothing but an episode of “Black Mirror” unfolding in real life. SearchFace has very limited, yet powerful, uses in looking for a person’s presence on VK. According to a Daily Mail report, experts have called this component of the search engine "creepy" and "poor." In order to trace back where a SearchFace match comes from, we have a couple of options, neither of which are full-proof. Perhaps the most well-publicized tech tool in Russia's arsenal for fighting coronavirus is Moscow's massive facial-recognition system. The applications of using the site are far-reaching, from legitimate digital research purposes to more nefarious possibilities, as we have seen with Russian sex workers being targeted through FindFace. Searching for the face of superstar freshman Zion Williamson brings back chaotic results, for a few different reasons. Watch their video report, “What facial recognition steals from us”, below: In September 2018, the Russian website FindFace was taken offline in order to provide “solutions tailored for government and business”. To use FindFace, you need to log into the VK account, grant permission, and upload an image of JPG or PNG format. CelebsLike.Me Update: SearchFace is dead, long live FindClone! To do this, you need to have a VK account and upload the image there, and then use the VK search engine to find duplicate images. In most cases, the URL and filename have no relationship to the VK user ID. As Russian cities go into lockdown to try to contain coronavirus, Moscow is using the latest technology to keep track of residents. SearchFace was very successful in searching for Bato because he and many of his family members were active on VK, providing a large amount of reference material for SearchFace to survey. One method is simple — run a reverse image search on the photograph, and hope that you find a result on VK. SearchFace has very limited, yet powerful, uses in looking for a person’s presence on VK. Emotion recognition (from real-time of static images) is the process of mapping facial expressions to identify emotions such as disgust, joy, anger, surprise, fear, or sadness on a human face with image processing software.. Its popularity comes from the vast areas of potential applications.. Russian Internet Giant Yandex To Restructure Under Pressure, Critics Slam Apple For AirPods Max's Hefty Price, Arctic Endured One Of Its Hottest Years In 2020: Study, WhatsApp Adds Shopping Carts In Fresh E-commerce Push, Decorated Air Force Test Pilot Chuck Yeager Dead At 97, Why Chipotle’s Brian Niccol Is All for Spending MORE on Ingredients – And People, Success Is Really About Being Happy – And Hiring Happy People, The POLITICS of EMPOWERMENT in American Business, Yandex accused of using facial recognition, The feature, in wrong hands, can be dangerous, Deep machine learning is used for facial recognition. “When third parties use this technology to correlate information that is freely available on the internet to create user records, it becomes creepy,” Rosbach stated. Yandex, the most popular search engine in Russia, is being accused of using machine learning and deep learning neural networks to provide facial recognition services to users. Other results are clearly not Bato, but instead of other men who either are Buryat or have a similar complexion as Bato. The first thing to understand about using this site is its range of reference material: VK, and only VK. This site received international press for its accuracy in its facial recognition capabilities, with a focus on finding someone’s profile on the Russian social network Vkontakte (VK). Like FindFace, SearchFace allows a user to upload a photograph, recognize a face in the image, and then match this face to its “twins” on VK. This feature on Yandex offers no security to users from stalkers, criminals, and strangers. In Russia, a full lockdown has been imposed in most regions of the country, as the number of confirmed coronavirus infections continues to rise. Facial recognition technology has long been part of the Russian police arsenal. A new facial-recognition technology invented by two Russian programmers has received some enthusiastic praise from US business and tech news sites. Your donation to Bellingcat is a direct contribution to our research. Running this on SearchFace, we get 16 results. SAN FRANCISCO — Their facial recognition software outperforms Google and China’s best programs — spotting a single face within a crowd of 1 million within a fraction of a second — but the Russian developers behind the technology used by FindFace say what they’ve shown is just the tip of the iceberg. This will only be possible with a warrant, however. Facial recognition is a key component of the general surveillance apparatus deployed to control the Uighur population in Xinjiang, justified by the government on grounds of combating terrorism. Many search engines including Google Face Recognition Search still using face match search. A common feature of these men is that they all have bushy eyebrows, thus revealing one of the details that SearchFace locked in on when it analyzed Bato’s face. Search by image and photo These three men do not look much alike at all, and the fact that SearchFace brought back a high score for them reflects a few possible deficiencies in the algorithm, including a lack of capabilities in searching for people of an ethnicity not common in Russia, a lack of reference materials to “learn from” in the VK image database, and/or an algorithmic tick that recognized Zion as a basketball player and thus brought back other basketball players as a result. If we were to run this same search on Yandex Images, which is often very good at matching faces, there would be a number of results of people wearing white tank-tops and white men with curly hair, rather than other young men with longer noses and similar bone structure, as we see with SearchFace. 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