Intruder Detector

A Python-based intruder detection system that captures video from a webcam, detects objects in real-time, and sends an email notification with an image attachment when an object is detected.

Key Features

• Real-Time Object Detection: Captures video from a webcam and processes it to detect objects.
• Email Notification: Sends an email with an image attachment when an object is detected.
• Image Storage and Cleanup: Saves detected object images and periodically cleans the storage folder.
• Multithreading: Uses threading to handle email sending and folder cleanup without interrupting the main detection process.

How It Works

1. Capture Video: The script captures video frames from the default webcam using OpenCV.
2. Process Frames: Each frame is converted to grayscale and blurred to reduce noise. The first frame is used as a reference for detecting changes.
3. Detect Motion: The difference between the current frame and the reference frame is computed. Thresholding and dilation are applied to highlight regions with motion.
4. Identify Objects: Contours are detected in the processed frame. If a contour's area exceeds a certain threshold, it is considered an object.
5. Save and Email Image: When an object is detected, the frame is saved as an image, and an email with the image attachment is sent.
6. Clean Up: The images folder is periodically cleaned to remove old images.

Installation

1. Clone the repository:

   git clone https://github.com/AVRSANAND/Intruder_Detection.git
   cd Intruder_Detector

2. Install the required packages:

   pip install -r requirements.txt

3. Set up email credentials in send_mail.py:

   email_sender = "[email protected]"
   password = "your_app_password"
   receiver = "[email protected]"

Usage

1. Run the main script:

   python main.py

2. Press q to quit the video stream.

Files

1. main.py: Main script for capturing video, detecting objects, and sending emails.

2. send_mail.py: Script for sending email notifications with image attachments.