Wildfire Detection Box

The Intelligent Disaster Management System with Alternative Energy and AI-Powered

Objective

The objective of our project is to transition from a human-based observation to a camera-based system. Cameras have a much longer viewing distance than humans, and our system provides notifications much faster than manual methods, helping to avoid danger more effectively.

How Does It Work?

Our project has three main components:

1. Wildfire Detection Pole: This pole is set up in the forest to detect fires.

2. Data Center: It receives information from the Wildfire Detection Pole and sends it to the internet, allowing users to monitor the temperature and other data around the pole.

3. Application: A mobile app that provides essential wildfire-related features and notifications.

Application Features

Our application includes five key features:

1. Wildfire Location

• The app displays the locations of active wildfires. For example, if there are wildfires in three places, it lists those locations for easy reference.

2. Hotline Call

• Users can directly call emergency hotlines from within the app.

3. Location Sharing

• Users can share their current location with others. For instance, someone in the forest during a wildfire can send their location to request help.

4. Environmental Data

• The app provides real-time data, including temperature, humidity, and gas levels around the pole.

5. Alert System

• If a wildfire is detected, a red circle appears on the map to indicate the affected area. Users within this red circle receive a notification sound, prompting them to evacuate the danger zone.

The Wildfire Detection Pole

The Wildfire Detection Pole integrates the following components:

• Raspberry Pi Pico Board: Handles environmental sensors and initial data processing.
• Raspberry Pi 5 Board: Controls the camera and processes image data for object detection.
• Camera System: Rotates back and forth to scan the environment and detect wildfires.

How It Works

1. The Raspberry Pi 5 connects to the Raspberry Pi Pico and the camera, controlling the camera's rotation.

2. The camera uses an object detection system to identify wildfires. When a wildfire is detected:

• The camera stops rotating and captures images of the wildfire.
• These images and temperature and humidity data are sent to the Data Center.

3. If no wildfires are detected:

• The camera continues rotating and pauses for 30 seconds after completing a full rotation.
• Temperature and humidity data are sent every 30 minutes.