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A system that can accurately locate a shooter based on video recordings from as few as three smartphones has been developed by researchers at Carnegie Mellon University. The system, called Video Event Reconstruction and Analysis (VERA), uses machine learning techniques to synchronize the video feeds and calculate the position of each camera based on what that camera is seeing.
VERA looks at the time delay between the crack caused by a supersonic bullet’s shock wave and the muzzle blast, which travels at the speed of sound. It also uses audio to identify the type of gun used, which determines bullet speed. VERA can then calculate the shooter’s distance from the smartphone. By using video from three or more smartphones, the…READ MORE