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Startologic Technologies

GUNSHOT & AUDIO DETECTION ANALYTICS

Hear the threat cameras can't see

Our Gunshot & Audio Detection Analytics solution uses AI-powered sound-event recognition to identify dangerous acoustic events such as gunshots, panicked screams, breaking glass, and aggressive shouts in real time, instantly alerting security teams with a short audio sample for verification. Unlike traditional noise sensors that trigger on volume alone, this system analyses the actual content of the sound, distinguishing genuine threats from everyday noise such as traffic, construction, or loud conversations.

Built on artificial intelligence trained on over a million real-world audio samples, the solution performs reliably even in noisy urban or industrial environments where conventional sensors would generate frequent false alarms. It can be deployed as a software add-on running on existing cameras with compatible open application platforms, or as standalone indoor and outdoor hardware devices with optional integrated cameras, battery backup, and cellular or Ethernet connectivity. Alerts appear within seconds on existing security consoles, mobile apps, or dispatch centres, enabling 24/7 automated monitoring without continuous human supervision.

Designed for cities, schools, transportation hubs, hospitals, critical infrastructure, and commercial facilities, the system integrates seamlessly with existing video management platforms and access control systems, turning audio into a proactive layer of situational awareness that complements video surveillance and physical security measures.

Key Features

Intelligent Sound Event Detection

Detects Real Threats, Not Just Noise
Analyses sound content to recognise specific dangerous events such as gunshots, breaking glass, panic screams, and aggressive shouts, rather than simply triggering on loudness.

High Accuracy in Noisy Environments
Maintains low false-alarm rates even in urban, industrial, or high-traffic areas where traditional noise sensors would fail.

AI Trained on Over a Million Samples
Machine-learning models are continuously refined using a large, diverse dataset of real-world audio, ensuring reliable recognition across different environments and scenarios.

Customizable Sound Library
Standard detection covers gunshots, glass breaking, and panic/aggressive screams; extended libraries add fireworks, power tools, sirens, spray cans, vehicle alarms, drones, and more.

Flexible Hardware Options

Standalone Outdoor Devices
Weather-resistant, ruggedised units with cellular, Ethernet, or PoE connectivity, optional battery backup for intermittent power, and an optional integrated camera capturing images before and after an event.

Standalone Indoor Devices
Compact, discreet units for hallways, classrooms, offices, and public interiors, with Ethernet, PoE, or cellular connectivity.

Sound Localization
When three or more detectors are deployed in an area, the system can triangulate the approximate location of a sound source for faster response.

Real-Time Alerting & Integration

Sub-Second Alert Delivery
Notifications appear within seconds on security consoles, mobile apps, or dispatch centres, with a short audio clip for human verification.

Broad System Integration
Compatible with major video management and open-standard video platforms, enabling synchronised audio-video alerts and automated camera focus on the event location.

Connects devices and systems from any manufacturer on one open platform, protecting existing investments and giving you the freedom to choose best-of-breed technology for every application with no vendor lock-in.

Cross-references data from multiple sources to catch complex events that individual systems would miss on their own, for example, linking a failed access card swipe, a motion sensor alert, and an unrecognised vehicle into a single confirmed security breach.

Walks every operator through a predefined, step-by-step response procedure when an incident occurs, ensuring consistent, auditable, and rapid handling regardless of who is on shift.

Triggers preconfigured responses the instant an event occurs, unlocking emergency exits, activating lighting, and notifying first responders the moment a fire alarm is raised, without waiting on a human decision.

Displays all security assets and active incidents on a live, interactive map. Operators click a camera icon to pull up live video or a door icon to lock or unlock it remotely, with full geospatial context for every event.

Logs every event, action, and operator response automatically, creating a complete audit trail for post-incident analysis, compliance reporting, and performance review.

Lets security managers monitor systems, receive alerts, and respond to incidents from a smartphone or tablet, keeping control in hand from anywhere, not just the control room.

Analyses historical event data to identify patterns and forecast emerging risks, helping teams move from reactive monitoring to proactive threat prevention.

Centralises visibility into available security personnel, vehicles, and equipment, so operators can dispatch the right response assets to the right location, every time.

Applies live changes to rules, thresholds, and device configurations across all connected subsystems without interrupting operations or requiring changes to each system individually.

Continuously checks the status of every connected device, flagging a faulty camera, offline sensor, or failed component before it creates a coverage gap, not just after a security event occurs.

Runs on redundant servers, gateways, and databases with automatic failover, so a subsystem failure never interrupts control room operations or compromises business continuity.