How It Works — PulseGuard

Sense

Low-cost, domain-specific sensors attach directly to the asset. Data streams continuously via GSM, LoRa, or WiFi — even in areas with intermittent connectivity. Edge buffering handles gaps gracefully.

Sensor Types

Accelerometers, acoustic sensors, temperature, humidity, moisture, pressure, optical, acoustic

Data Path

Sensor → ADC @ 1 kHz → Local buffer → TX (GSM/LoRa)

Connectivity Tolerance

Works offline; syncs when connection restored. No data loss.

Process

The FFT pipeline converts raw time-domain signal streams into frequency-domain spectra. Each reading is compared against a learned baseline, and deviations are classified by severity and anomaly type.

CPU Pipeline

FFT (512 bins) → Spectral comparison → Anomaly score

Processing Latency

Input to alert: <2.3 seconds (end-to-end)

Baseline Learning

First 24–72 hours establish "normal." Then anomalies detected continuously.

Act

Alerts are delivered contextually — SMS for critical severity, app notification for warnings, dashboard update for nominal status. Recipients get actionable facts, not raw data.

Alert Channels

SMS • Mobile App • Web Dashboard • LoRa Mesh

Time to User

Detection + TX + notification: <90 seconds typical

Alert Content

Severity • Anomaly type • Recommended action • Trend

Why This Approach?

Traditional Monitoring ❌

⏳

Reactive: Failures happen first, detection second

📊

Threshold-based: Fixed limits miss subtle anomalies

💨

Slow: Manual checking or hourly logs

💔

Disconnected: No system for low-connectivity areas

💰

Expensive: Enterprise systems only

PulseGuard FFT Pipeline ✓

🔮

Predictive: Anomalies detected 7–60 days early

🧠

Adaptive: Learns baseline, catches subtle deviations

⚡

Real-time: Detection in seconds, alert in <90s

🌍

Frontier-ready: Offline-first, works on GSM/LoRa

🎯

Affordable: Edge hardware + software, no cloud lock-in

Three Steps. Seconds to Insight.

Sense

Process

Act

Why This Approach?

Traditional Monitoring ❌

PulseGuard FFT Pipeline ✓