Fire Detection System

Overview

The Fire Detection System is a comprehensive solution designed to detect fire through various sources, including images, videos, and real-time camera feeds. This system leverages advanced machine learning models to identify fire with high accuracy and provides a user-friendly interface for monitoring and detection.

Features

1. Image and Video Detection
   • Upload images or videos to detect the presence of fire.
   • Visual indication of detected fire regions in the uploaded media.

2. Live Camera Detection
   • Real-time fire detection using live camera feeds.
   • Switch between IP cameras and Webcam for flexible monitoring.
   • Continuous monitoring with instant alerts on fire detection.
   • Email Notifications: When fire is detected in the live feed, an email notification with evidence (snapshot of the detected fire) is sent to the user's email.

Installation

To install and run the Fire Detection System, follow these steps:

**Prerequisites Python 3.8 or higher Virtual environment tools (optional but recommended) Required Python packages listed in 'requirements.txt'

**Steps

1. Clone the Repository:

   • git clone https://github.com/yourusername/fire-detection-system.git
   • cd fire-detection-system

2. Create and Activate Virtual Environment (Optional):

   • python -m venv venv
   • source venv/bin/activate # On Windows: venv\Scripts\activate

3. Install Dependencies:

   • pip install -r requirements.txt

4. Run the Application"

   • python app.py

Usage

1. Image and Video Detection

   • Open the web application in your browser.
   • Navigate to the Image/Video Detection section.
   • Upload an image or video file.
   • The system will process the file and display the result with highlighted fire regions if detected.

2. Live Camera Detection

   • Open the web application in your browser.
   • Navigate to the Live Camera Detection section.
   • Select the camera source (IP Camera or Webcam).
   • If using an IP Camera, enter the IP address and connect.
   • The system will start the live feed and begin detecting fire in real-time.
   • Switch between IP Camera and Webcam as needed.
   • If fire is detected in the live feed, an email notification with a snapshot of the fire will be sent to the configured email address.

Email Notification Setup

To set up email notifications, update the config.py file with your email credentials and recipient address:

Email Configuration

• email_flag = 0
• smtp_port = 587
• smtp_server = "smtp.example.com"
• email_from = "[email protected]"
• email_list = ["[email protected]"]
• pswd = 'your_password'
• subject = "mail_subject"
• formatted_time = datetime.now().strftime('%Y-%m-%d %H:%M:%S')