Humans are hardwired to quickly spot objects in the corner of our eyes: Kids getting into trouble, snakes slithering into the room, and the like. That task isn’t as easy for algorithms, but they’re getting better. Someday soon they may even help humans spot dangerous objects we might have missed. Researchers at the University of Granada, for example, have used deep learning to train an algorithm to identify handguns from video in real time.The system may be used in home security systems, police body cameras, and video surveillance at places like schools, airports, and malls. It could also be applied to videos online as a way to monitor and map violent content.Although around 30 percent of American adults say they own guns; the weapons have a steady presence in our lives. They seem to be everywhere you look — carried by cops on TV or as a key component in many of today’s most popular video games. So it’s appropriate that the University of Granada researchers trained their system on movies like Pulp Fiction, and the Mission Impossible and James Bond franchises, through which many of us also had our first introduction to firearms.After training the algorithm on low-quality video of these… Read full this story
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