https://github.com/ninadnaik10/firesense

A Computer Vision based system to detect fire at an early stage in real-time and alert the user through a mobile application.
https://github.com/ninadnaik10/firesense

artificial-intelligence computer-vision firebase flask flutter machine-learning open-source opencv yolo yolov8

Last synced: 3 months ago
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A Computer Vision based system to detect fire at an early stage in real-time and alert the user through a mobile application.

• Host: GitHub
• URL: https://github.com/ninadnaik10/firesense
• Owner: ninadnaik10
• License: gpl-3.0
• Created: 2024-04-30T15:46:23.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-20T18:02:01.000Z (about 2 years ago)
• Last Synced: 2025-08-09T23:52:05.351Z (11 months ago)
• Topics: artificial-intelligence, computer-vision, firebase, flask, flutter, machine-learning, open-source, opencv, yolo, yolov8
• Language: Dart
• Homepage:
• Size: 20.3 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# FireSense

FireSense is a Computer Vision based system to detect fire at an early stage in real-time and alert the user through a

mobile application. It is built by training YOLO model on a dataset consisting 2400 images with and without fire. The system consists of Python program running YOLO model, a Flask server and an Android application to receive instant notification and alert the user by playing siren sound.

### Features

1. Real-time Early Fire Detection

2. Instant Notification

3. Snapshot of detected fire

### Tech Stack used

1. Python

2. YOLOv8

3. Flask

4. Flutter

5. Firebase Cloud Messaging

### Flowchart

![FireSense flow chart](photos/image.png)

### Screenshot

Notification alert on Android device

![Screenshot demo](photos/screenshot.png)

### Further Development

1. Integrate with the existing CCTV software solution.