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December 17, 2020 04:46 pm

Gun Detection AI is Being Trained With Homemade 'Active Shooter' Videos

In Huntsville, Alabama, there is a room with green walls and a green ceiling. Dangling down the center is a fishing line attached to a motor mounted to the ceiling, which moves a procession of guns tied to the translucent line. From a report: The staff at Arcarithm bought each of the 10 best-selling firearm models in the U.S.: Rugers, Glocks, Sig Sauers. Pistols and long guns are dangled from the line. The motor rotates them around the room, helping a camera mounted to a mobile platform photograph them from multiple angles. "It's just like a movie set," said Arcarithm president and CEO Randy E. Riley. This process creates about 5,000 images of each gun floating ethereally. Arcarithm's computer programmers then replace the green backdrop with different environments, like fields, forests, and city streets. They add rain or snow or fog or sun. A program then randomly distorts the images. The result is 30,000 to 50,000 images of the same gun, from multiple angles, in different synthetic settings and of varying degrees of visibility. The point of creating this vast portfolio of digital gun art is to feed an algorithm made to detect a firearm as soon as a security camera catches it being drawn by synthetically creating tens of thousands of ways each gun may appear. Arcarithm is one of several companies developing automated active shooter detection technology in the hopes of selling it to schools, hotels, entertainment venues and the owners of any location that could be the site of one of America's 15,000 annual gun murders and 29,000 gun injuries. Among the other sellers are Omnilert, a longtime vendor of safety notification software, and newcomers ZeroEyes, Defendry, and Athena Securities. Some cities employ a surveillance system of acoustic sensors to instantly detect gunshots. These companies promise to do one better and save precious minutes by alerting police or security personnel before the first shot is fired.

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