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AgniShieldFire Early Warning System

Inside the device

Rugged hardware, cloud-native intelligence

AgniShield nodes are designed for humid, dusty environments and integrate tightly with Firebase for instant alerts and analytics.

ESP32 compute core

Runs edge ML models to differentiate between cooking smoke, incense, and actual fires; supports OTA updates via Wi-Fi.

Dual-sensor array

Photoelectric smoke sensor + high-temperature thermistor calibrated for corrugated tin roofs and polythene interiors.

LoRa + GSM backhaul

Long-range mesh nodes with SIM fallback ensure alerts escape congested wards even during power failures.

Battery + solar trickle

Rechargeable pack with smart power management, delivering 38 hours of backup with optional solar patch.

AgniShield technology stack diagram

Alert pipeline powered by Firebase

When an anomaly is detected, events hit Firebase within 300 ms and are dispatched to dashboards, SMS bots, and IVR systems for community leaders.

Firebase Auth

Secure Google sign-in for ward officers, NGOs, and verified community responders.

Firestore

Stores pilot requests, device inventory, maintenance logs, and incident reports.

Realtime Database

Streams sensor payloads and alert states to dashboards, SMS bots, and civic command centers.

Cloud Functions

Evaluates anomalies, triggers multichannel notifications, and archives telemetry for analytics.

Realtime fire alert demo

See how Firebase Realtime Database pushes live alerts to the dashboard. Connect your own Firebase instance to watch actual devices.

Live node health

Streaming sensor data from Firebase Realtime Database. In demo mode, mock data illustrates how alerts behave under stress.

Waiting for demo nodes…

Alert feed

Last five alerts with timestamp, sensor vitals, and location tags.