Acoustic AI Architecture

From sound to shared awareness.

SplitSec analyzes sound on your device for possible gunfire. Local analysis can work offline; multi-device corroboration and connected alerts require internet access.

Viet NguyenChief Engineer, AI/ML
Detect, Confirm, Notify workflow infographic

Coordinated acoustic grid

Phones work together inside the active site boundary to create broader site awareness.

Multi-device corroboration

Matching detections raise confidence and help alert the right people faster.

Infrastructure-free

Deploy in minutes using smartphones. No sensors, wiring, or fixed hardware required.

For a dedicated external sensor, explorePerimeterPAK

Privacy By Design

Privacy-first, on-device detection

No continuous recording or audio streaming. Raw audio is never transmitted to SplitSec.

Privacy Promise

Built-in safeguards
  • No one listens in
  • Detection runs locally on the phone
  • Privacy-first, on-device detection
  • No continuous recording or audio streaming

On-Device Detection

Local intelligence

SplitSec detects gunshots on your phone, not in the cloud. Privacy-first, on-device detection. No continuous recording or audio streaming. We do not sell data or build products that track people.

Zero biometric or speech profiling

Behind the Scenes Engineering

Inspired by how the human brain works

SplitSec AI learns sound patterns the way people recognize a familiar song or voice. We train our models on thousands of real-world examples using high-powered computers, then store a compact version, the “brains and memory,” directly on your phone. That means fast gunshot detection, even offline, with privacy by design.

Inspired by how the human brain works
Trained on thousands of sounds
Compact AI runs on your phone
Book 30 minutes