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Security Camera Project Wiki

Welcome to the wiki for the Security Camera Project! This repository contains everything you need to know about building and setting up a custom security camera system with motion detection, frame extraction, video processing, and email notifications.

Table of Contents

• Overview
• Features
• Installation
  • Prerequisites
  • Installation Steps
• Configuration
  • Hardware Setup
  • Software Configuration
• Usage
• Troubleshooting
• Contributing
• License

Overview

This security camera system allows you to monitor a designated area by streaming live video, detecting motion, and sending real-time email alerts. The project is built with Python, OpenCV, and PyQt6, providing a fully customizable solution for surveillance needs.

Features

• Live Video Feed: Stream video from the camera in real-time.
• Motion Detection: Detect movement and trigger events such as email notifications.
• Frame Extraction: Capture frames at set intervals for analysis or archival purposes.
• Email Integration: Automatically send notifications when motion is detected.

Installation

Prerequisites

Before you start, ensure you have the following software installed:

• Python 3.12 (or later)
• OpenCV
• PyQt6
• A compatible camera (USB webcam or IP camera)

Installation Steps

1. Clone this repository to your local machine:

   git clone https://github.com/GouthamOfTheNP/SecurityCamera.git
   cd SecurityCamera
   

Usage

1. Start the Application: Launch the app to start the live video feed from the camera.
2. Enable Motion Detection: Turn on the motion detection feature to receive email notifications when movement is detected.
3. Frame Extraction: Capture still frames by clicking the "Capture Frame" button in the UI.
4. View Processed Videos: Watch the processed video stream directly in the app or save it for further analysis.

Configuration

The following configuration settings can be adjusted:

• Camera IP Address: Specify the camera IP for live streaming.
• Email Configuration: Set up SMTP details for sending email notifications.

Contributing

Contributions are welcome! Please feel free to fork the repository and submit a pull request. Ensure that your changes are well-tested and documented.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

• OpenCV: For video processing and motion detection.
• PyQt6: For building the graphical user interface (GUI).
• smtplib: For sending email alerts.

Contact

For questions or support, please contact me at newsgsnc@gmail.com.