https://github.com/Napattnpp/DIMZ

The Intelligent Disaster Management System with Alternative Energy and AI-Powered
https://github.com/Napattnpp/DIMZ

ai arduino-ide environment image-encryption image-transfer python3 raspberry-pi-pico raspberrypi

Last synced: 8 months ago
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The Intelligent Disaster Management System with Alternative Energy and AI-Powered

• Host: GitHub
• URL: https://github.com/Napattnpp/DIMZ
• Owner: Napattnpp
• Created: 2024-06-17T13:31:25.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2025-01-21T16:18:24.000Z (over 1 year ago)
• Last Synced: 2025-01-21T17:27:53.588Z (over 1 year ago)
• Topics: ai, arduino-ide, environment, image-encryption, image-transfer, python3, raspberry-pi-pico, raspberrypi
• Language: C++
• Homepage: https://dev.to/napattnpp/the-intelligent-disaster-management-system-with-alternative-energy-and-ai-powered-5gkc
• Size: 3.04 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# The Intelligent Disaster Management System with Alternative Energy and AI-Powered (Earlier version of the document)

### 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.

![](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F3wd2r3nlxoncu6amwapj.png)

---

### 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.

![](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/5nnes5t0qy5qq33iyv17.png)

---

### 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.