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Added on the 02/05/2017 13:45:09 - Copyright : Wochit
Moscow (Russia), Aug 26 (EFE) .- (Camera: Anush Janbabian) To enter the Moscow metro, one of the largest and most luxurious in the world, you no longer need a ticket, since the traveler can access the suburban thanks to a facial recognition payment system.FOOTAGE OF THE MOSCOW METRO THAT HAS INAUGURATED A NEW METHOD OF PAYMENT BY FACIAL RECOGNITION.
Business Insider reports Stephanie Winston Wolkoff is being sued by the Department of Justice. The suit follows Wolkoff's publication of a tell-all about the 'rise and fall' of her 15-year friendship with first lady Melania Trump on September 1. The DOJ claims that the publication of the book was in violation of a nondisclosure agreement she signed. Wolkoff is a former special events planner for Vogue and helped plan President Donald Trump's inauguration in 2017. She was fired from the White House in 2018 after a scandal involving spending on the inauguration. Wolkoff claims that after the 2016 RNC convention, First Lady Melania Trump felt someone was trying to sabotage her. Trump became suspicious when it was revealed parts of a speech she made had been plagiarized from a 2008 speech by Michelle Obama.
Hungarian researchers want to reassure the human companions of dogs that they do care about you. However, they don't particularly care for your face. In fact, CNN reports dogs can't even distinguish the front of your head from the back of it. Instead, dogs use more information from smell or larger parts of the body to identify people. Despite lacking specialized neural machinery to process faces, dogs nevertheless excel at eye contact, following gaze, and reading emotions from faces. The researchers say that as dogs domesticated, they learned that reading facial cues meant survival, even though they lacked a specific region in the brain to do so.
A firm from China have developed a facial recognition system that can work on people wearing masks.
AI projects in assembly mainly focus on automated image recognition. Here, the technology is used to evaluate images of a component and compare them in milliseconds with hundreds of other images from the same sequence. The system then identifies any deviations from the norm, such as parts that are incorrectly positioned or fitted, or absent.At Plant Munich, automated image recognition allows the production team to identify whether the hazard warning triangle, wiper caps and door sills have all been correctly fitted to each car. Previously, small bubbles in the foil cover of a door sill were often enough to prevent the conventional camera gates from seeing if the logo on the door sill was correct. But now an associate photographs each part concerned in turn and can even use the mobile equipment to check parts that are more difficult to access. Distance, angle and light hardly have any effect on AI evaluations, which reveal within fractions of a second whether everything is in place or not.The AI system is trained by associates. They start by photographing the component concerned from various perspectives and marking potential deviations on the images. This allows them to develop an image database that can be used to build up a neural network for evaluating the images. Evaluations are carried out fully automatically, and the machine decides by itself whether or not a part meets all the specifications.
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