AI Smart Drone for Disaster Monitoring and Rescue Operations

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AI Smart Drone for Disaster Monitoring and Rescue Operations ESP32 + AI Agent + IoT Cloud Dashboard + n8n Automation + Telegram Voice Alerts + Google Sheets + ThingSpeak
AI Smart Drone for Disaster Monitoring

AI Smart Drone for Disaster Monitoring and Rescue Operations

ESP32 + AI Agent + n8n Automation + Telegram Voice Alerts + Google Sheets + ThingSpeak

1. Project Overview

AI Smart Drone is an IoT based disaster monitoring system designed for rescue operations during floods, earthquakes, forest fires and emergency situations.

The drone collects sensor information, analyzes danger conditions, tracks location and automatically sends emergency notifications.

2. Features

  • AI disaster detection
  • Smoke and fire monitoring
  • GPS location tracking
  • Obstacle detection
  • Battery monitoring
  • Telegram voice alerts
  • Google Sheets data logging
  • ThingSpeak cloud dashboard
  • n8n automation workflow

3. Hardware Components

Component Purpose
ESP32 Main IoT controller
MQ2 Sensor Smoke and gas detection
DHT22 Temperature and humidity
Flame Sensor Fire detection
Ultrasonic Sensor Obstacle avoidance
GPS Module Location tracking
ESP32-CAM Image monitoring

4. Circuit Connection


MQ2 Sensor

VCC  -> ESP32 5V
GND  -> ESP32 GND
AO   -> GPIO34


DHT22

DATA -> GPIO4


Flame Sensor

OUT -> GPIO27


Ultrasonic

TRIG -> GPIO5
ECHO -> GPIO18


GPS

TX -> GPIO16
RX -> GPIO17

Battery Sensor

ADC -> GPIO35

5. System Flowchart


START

 |

Initialize ESP32

 |

Connect WiFi

 |

Read Sensors

 |

Analyze Data

 |

------------------

Safe        Danger

 |             |

Cloud       Alert

Update       |

          n8n

            |

       Telegram Voice

6. Working Principle

Sensors continuously collect environmental data. ESP32 sends data to cloud services. AI checks disaster conditions. If danger is detected:

  • Emergency message generated
  • GPS location attached
  • Telegram voice alert sent
  • Data stored in Google Sheets

7. ESP32 Source Code


#include <WiFi.h>
#include "DHT.h"


#define DHTPIN 4
#define DHTTYPE DHT22


DHT dht(DHTPIN,DHTTYPE);


void setup()
{

Serial.begin(115200);

dht.begin();

}


void loop()
{


float temp=dht.readTemperature();

int gas=analogRead(34);


Serial.println(temp);

Serial.println(gas);


if(temp > 70 || gas > 2500)
{

Serial.println("DANGER ALERT");

}


delay(5000);

}

8. n8n Automation Workflow


ESP32

 |

Webhook Trigger

 |

AI Analyzer

 |

Decision Node

 |

-----------------

Safe       Danger

 |            |

Sheet     Telegram

Log       Voice Alert

9. Telegram Bot Setup

  1. Open Telegram
  2. Create bot using BotFather
  3. Copy Bot Token
  4. Add Telegram node in n8n
  5. Send emergency notifications

10. Google Sheets Integration

Time Temperature Gas GPS Status
10:30 35°C 300 Location Safe

11. ThingSpeak Dashboard

ThingSpeak displays live:

  • Temperature graph
  • Humidity graph
  • Gas level graph
  • Battery level
  • GPS data

12. AI Power Prediction


Power Usage =

Motor Power
+
Sensor Power
+
Communication Power


Battery Remaining Time =

Battery Percentage / Usage Rate

13. Future Enhancements

  • Thermal camera victim detection
  • AI object recognition
  • Autonomous navigation
  • Multiple rescue drones
  • 5G communication

14. Deployment Steps

  1. Assemble drone hardware
  2. Install ESP32 firmware
  3. Connect sensors
  4. Create ThingSpeak channel
  5. Setup n8n workflow
  6. Create Telegram bot
  7. Test emergency alerts
  8. Deploy drone

Project Result

AI Drone successfully monitors disaster environments, detects hazards, tracks location and automatically sends rescue alerts using IoT cloud automation.

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