SED (Sound Event Detector) is a solution that uses a proprietary algorithm driven by machine learning technology to detect, classify and subsequently alert on unwanted acoustic events. These events can be a gunshot, a scream, or high urban noise levels.
The SED has exceptional accuracy that provides the confidence to address threats quickly and avoid wasting resources on false alarms. In addition, this solution enables sound detection to operate on devices with low-power, low-cost processors.
