Fire Alarm System with Realtime Mobile Alerts

Introduction

This project aims to develop a Fire Alarm System that detects the presence of fire using sensors and sends real-time alerts to a mobile application. The system integrates hardware components with a mobile app to enhance safety and convenience.

Table of Contents

• Objectives
• Components
• Tech Stack
• Circuit Diagram
• Mobile Application Development
• Testing
• Results
• Mobile Screenshorts
• Usage
• Features
• Learnings
• Physics of the Flame Sensor
• Conclusion
• Demonstration Video

Objectives

• Detection: Create a system that detects the presence of fire using sensors.
• Notification: Send real-time alerts to a mobile application when a fire is detected.
• Integration: Seamlessly integrate hardware components with a mobile application for enhanced safety and convenience.

Components

• Flame Sensor: Detects the presence of fire or heat.
• Wi-Fi Module (ESP-WROOM-32): Facilitates wireless communication between the hardware and the mobile app.
• LED RGB: Provides visual indication of the system status (e.g., normal, warning, alert).
• USB Cable & Jumper Wires: Used for connecting and powering the components.

Tech Stack

• Arduino IDE: Development environment for programming the Arduino microcontroller.
• Arduino Programming: Code to handle sensor inputs, process data, and communicate with the mobile app.
• Android Studio: Integrated development environment (IDE) for building the mobile application.
• Kotlin: Programming language for developing the Android app.
• Firebase: Backend platform for real-time database management and notifications.

Circuit Diagram

• The flame sensor connects to digital pin D13 for reading the sensor output and to the 5V and GND pins for power.
• The Wi-Fi module (ESP�WROOM-32) is connected to the 3.3V pin for power and the RX/TX pins for serial communication with the Arduino.
• The RGB LED connections are defined in the code but typically connect to different digital pins for controlling the LED colors.

Mobile Application Development

The Android app is developed using Kotlin in Android Studio. It connects to Firebase to receive notifications about fire detection and displays real-time alerts to the user.

Testing

The system is tested under different scenarios to verify that the flame sensor correctly detects fire, the LED responds appropriately, and the mobile app receives real-time notifications.

Results

• Detection Accuracy: The flame sensor effectively detects fire, and the system activates the buzzer and LED as expected.
• Real-Time Notifications: Notifications are successfully sent to the mobile app through Firebase, providing timely alerts.
• System Reliability: The integrated system demonstrates consistent performance and reliable fire detection.

Mobile Screenshorts

Usage

1. Power on the system.
2. Ensure the mobile application is installed .
3. When a fire is detected, the system will:
   • Activate the RGB LED to indicate the alert status.
   • Send a real-time notification to the mobile app.

Features

• Real-time fire detection and alerts.
• Visual indication of system status through an RGB LED.
• Mobile application integration for remote alerts.

Learnings

• Integration Skills: Enhanced understanding of integrating hardware with software and managing real-time data.
• Firebase Utilization: Gained practical experience in using Firebase for real-time database management and notifications.
• Problem-Solving: Improved ability to troubleshoot and resolve issues related to sensor accuracy, communication reliability, and app development.

Physics of the Flame Sensor

• Infrared Radiation: Flames emit IR radiation due to their high temperature.
• Detection Mechanism:
  • Photodiode/Phototransistor: Converts IR radiation into an electrical signal.
  • Photodiode: Generates a current proportional to IR intensity.
  • Phototransistor: Alters conductivity based on IR radiation.
• Output Types:
  • Analog Output: Voltage varies with IR intensity.
  • Digital Output: High or low signal based on IR threshold.
• Sensitivity and Range:
  • Sensitivity: Detects small amounts of IR radiation.
  • Range: Effective distance for flame detection.

Conclusion

The Fire Alarm System project successfully meets its objective of detecting fire and sending real-time notifications to a mobile application. By combining hardware and software components, the project enhances safety through timely alerts and reliable performance. This project provided valuable experience in system integration, real-time communication, and application development.

Demonstration Video

To view the demonstration of the Fire Alarm System in action, please follow the link below or scan the QR code.

• Watch the Video Here: Demonstration Video
• Scan the QR Code to Watch: