AI Smart Autonomous Fire Detection Drone

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AI Smart Autonomous Fire Detection Drone ESP32 + AI Agent + IoT Cloud + n8n Automation + Telegram Voice Alerts + Google Sheets + ThingSpeak
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Project Overview

The AI Smart Autonomous Fire Detection Drone is an intelligent UAV system that detects fire hazards using ESP32, sensors, AI prediction logic, IoT cloud monitoring, n8n automation and Telegram voice alerts.

Objectives

  • Autonomous fire surveillance
  • Real-time fire detection
  • AI-based risk prediction
  • Cloud monitoring
  • Emergency notification automation

System Architecture

Drone Sensors
      |
      |
     ESP32
      |
 WiFi / HTTP / MQTT
      |
 Cloud Platform
      |
 +----+-------+
 |            |
ThingSpeak    n8n
Dashboard     Automation
              |
     Telegram Voice Alert
     Google Sheets Storage

Components List

  • ESP32 Development Board
  • Flame Sensor
  • MQ-2 Smoke Sensor
  • DHT22 Temperature Sensor
  • GPS Module
  • Drone Frame
  • Brushless Motors
  • ESC Controller
  • LiPo Battery
  • Camera Module

Circuit Connections

Flame Sensor OUT  -> ESP32 GPIO27
MQ2 Analog        -> ESP32 GPIO34
DHT22 DATA        -> ESP32 GPIO4
GPS TX            -> ESP32 GPIO16
GPS RX            -> ESP32 GPIO17

Working Principle

Sensors collect temperature, smoke, flame and location data. ESP32 processes the data and sends it to cloud services. AI logic calculates fire risk percentage. If danger is detected, n8n triggers Telegram voice alerts.

AI Fire Prediction Logic

Fire Risk =
Temperature Weight +
Smoke Level +
Flame Detection

If Risk > 70%
Status = HIGH FIRE ALERT

ESP32 Program Logic

Read Sensors
Connect WiFi
Calculate Fire Risk
Send Data to n8n Webhook
Upload to Cloud

n8n Automation Workflow

ESP32 Webhook
      |
AI Agent Analysis
      |
IF Fire Detected
      |
Telegram Voice Alert
      |
Google Sheets Logging

Telegram Bot Setup

  1. Create bot using BotFather
  2. Get BOT TOKEN
  3. Get Chat ID
  4. Connect Telegram node in n8n

Google Sheets Integration

Store: Temperature, Smoke Level, Fire Risk, GPS Location and Time.

ThingSpeak Dashboard

  • Temperature Graph
  • Smoke Monitoring
  • Fire Risk Chart
  • Battery Monitoring

Power Consumption Prediction

Power Usage =
Motor Load + Flight Time + Sensor Consumption

Predict Remaining Battery
and Return Drone if required.

Future Enhancements

  • AI Camera Fire Detection
  • YOLO Object Detection
  • Autonomous Navigation
  • Obstacle Avoidance
  • Emergency Service Integration

Deployment Guide

  1. Assemble drone hardware
  2. Upload ESP32 firmware
  3. Configure WiFi
  4. Setup n8n workflow
  5. Connect Telegram and Cloud Dashboard
  6. Test fire scenarios

Final Features

  • AI Powered Fire Detection
  • ESP32 IoT Control
  • n8n Automation
  • Telegram Voice Notifications
  • Google Sheets Data Logging
  • ThingSpeak Cloud Dashboard
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