Gunshot Sensors Confirm Blast and Flash at the Edge. Alerts Skip the Human Queue

To compensate for false alerts, operators traditionally insert human verification into the alert workflow. However, holding a potential active shooter notification in a software queue while a dispatcher reviews the audio signature introduces delays into emergency response timelines.

Bypassing software bottlenecks

Rather than filtering alerts after a sensor triggers, operators are shifting toward multi-factor hardware validation. Shooter Detection Systems, an indoor threat intelligence manufacturer, bypasses software-layer filtering by requiring independent confirmation of both acoustic muzzle blast and infrared muzzle flash before an alert ever leaves the sensor.

"The short answer is that we do not treat false alarm filtering as a tradeoff against speed. The architecture is designed so that both happen simultaneously, at the sensor, before any alert is ever transmitted," Billy Borho, Director of Sales at the company, said in written responses to Security Guys News. "The vast majority of environmental noise sources that generate false alerts in other systems produce one signal but not both, or produce neither in the specific combination the sensor requires. That means the sensor is not filtering after the fact. It is not running a signal through a software layer and making a judgment call about whether to alert."

Removing human verification

Because the validation happens structurally within the edge processing architecture, the system removes the human-in-the-loop requirement. The company reports that the UK's National Protective Security Authority conducted an 18-month installed environment test of SDS Indoor and recorded a 0% false alert rate over the full test period.

When acoustic-only systems misfire, operators face alert fatigue and potential panic. By requiring dual-factor confirmation, automated workflows become viable. "Security teams can configure SDS to notify onsite personnel, push directly to 911 via our ResponderLink capability, or both simultaneously, without a human confirmation step in the middle, because the detection decision has already been made with a high degree of certainty at the sensor level," Borho said.

Breaking open architecture silos

Beyond sensor accuracy, overall response velocity depends heavily on interoperability with existing video management and access control platforms. Closed systems require customized integration layers, creating operational friction and vendor lock-in that slows deployment. Recognizing this limitation, Shooter Detection Systems recently adopted the ONVIF open standard to make its threat data a native layer of the broader physical security ecosystem.

"A significant focus of our integration investment over the next twelve months is open architecture interoperability, ensuring that SDS gunshot detection data reaches the platforms and people responsible for response as quickly and seamlessly as possible," Borho told Security Guys News. "We recently joined ONVIF® as a member, which reflects a strategic direction we've been building toward: making gunshot detection a native layer of the open physical security ecosystem rather than a siloed system that requires custom integration work to connect. ONVIF is the open standard that already governs how cameras and access control devices communicate across platforms like Genetec, Milestone, and Avigilon. We believe gunshot detection data, which are among the most time-critical signals in any security environment, deserves that same level of interoperability."