None of us know when tragic events are going to happen.
So, we must respond quickly and strategically when they do—with trusted tools already in place and data we can rely on.
SignalQ is a gunshot detection algorithm that leverages a non-homogenous array of audio collection devices to identify and classify gunshots. Our solution leverages common hardware, found on mobile devices, computers, etc. to collect, analyze and alert when acoustic signals are detected that have a high probability of gunshot characteristics.
This is a high-density, low-cost sensor approach that means every additional sensor adds to the accuracy of SignalQ’s calculations. Our triangluation algorithm identifies the shockwave for the type of gun and bullet caliber— as well as the direction and bearing of the shooter.