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.
- Real-time Early Fire Detection
- Instant Notification
- Snapshot of detected fire
- Python
- YOLOv8
- Flask
- Flutter
- Firebase Cloud Messaging
Notification alert on Android device
- Integrate with the existing CCTV software solution.