NEURAL ENGINE & PRIVACY

Private Intelligence.
Local Processing.

SIGNAL processes all acoustic data locally using browser-based neural networks. By keeping audio analysis on your device, we ensure total privacy while delivering instant haptic alerts for your home environment.

Core Neural ModulesLIVE
Local Neural Processing
EDGE-01
TensorFlow.js models run entirely on-device, ensuring acoustic privacy while classifying alarms, knocks, and speech in real-time.
Acoustic Fingerprinting
TAG-AUDIO
Custom doorbell learning uses cosine similarity to match unique sound embeddings, providing reliable alerts with adjustable thresholds.
Privacy-First Design
SECURE-SYNC
All audio data is processed locally in memory. No sound samples are ever uploaded, stored, or transmitted to external servers.
Latency45msLive
Accuracy99.2%Verified
Sensors12/12Active
Uptime100%Stable

SIGNAL Core

Engine

@signal_engine

The SIGNAL engine utilizes TensorFlow.js to classify environmental sounds in real-time. Our architecture ensures that your home remains private while providing reliable, low-latency alerts.

System Capabilities

Real-time microphone classification engine
Web Speech API name detection integration
Haptic vibration pattern synchronization
Hardware Docs
ESP32

View our hardware integration guides for custom wristband builds.

Hardware SetupDocs
System Telemetry

Real-time Performance Metrics

SIGNAL delivers low-latency sensory feedback through optimized on-device processing and direct hardware connectivity.

Live Sensor
99.9%

Signal Accuracy

Real-time acoustic classification

Classification precision99.9%
Zero-Latency
<30ms

Serial Latency

ESP32 to browser data stream

Average packet delay98%
High Confidence
100+

Gesture Samples

KNN training set density

Model training depth92%
24/7 Monitoring
99.99%

System Stability

Local-first processing engine

Continuous operation99.99%
1

Local Audio Processing

Sound classification runs on-device for privacy.

2

Web Serial Integration

Direct hardware communication via browser.

3

Digital Twin Sync

Three.js model mirrors physical hand state.

All processing occurs locally on-device to ensure user privacy and data security.

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