Web Camera Human Detection Feature

Overview

The Web Camera Human Detection system is a cutting-edge application that leverages artificial intelligence to detect human presence in real-time. Designed with a user-friendly interface, this system is ideal for surveillance, security, and monitoring purposes. It offers powerful features like email notifications, user management, Google Drive integration, and video recording.

---

Features

1. Real-Time Human Detection

• Uses advanced AI models to detect human presence with high accuracy.
• Provides instant notifications when a human is detected.

2. Email Notifications

• Automatically sends email alerts to notify users of human detection.
• Customizable email templates and recipient lists.

3. User Management

• Supports multiple users with role-based access control.
• Allows administrators to add, edit, or remove users.

4. Google Drive Integration

• Seamlessly connects to Google Drive for cloud storage.
• Automatically uploads recorded videos and snapshots to a designated Drive folder.

5. Video Recorder

• Records video footage when a human is detected.
• Stores videos locally and/or in Google Drive.
• Includes playback and export functionalities.

---

Installation

1. Clone the Repository:

   git clone https://github.com/your-repo/webcam-human-detection.git
   cd webcam-human-detection

2. Install Dependencies:

   pip install -r requirements.txt

3. Set Up Google Drive Integration:

   • Obtain API credentials from Google Cloud Console.
   • Save the credentials file (credentials.json) in the project root.

4. Run the Application:

   python app.py

---

Primary Instructions

For RCLONE

Open a new terminal and type this command:

rclone mount gdrive: ~/Desktop/gdrive

For CAMERA RECORDER

NOTE: If you're running other Python code, kindly close it. Open a new terminal and type this command:

sudo python3 /home/pi/Desktop/RPI-2/web-camera-recorder-master/server.py

For CAMERA DETECTION

NOTE: If you're running other Python code, kindly close it. Open a new terminal and type this command:

sudo python3 /home/pi/Desktop/RPI-2/Cam/main.py

---

Configuration

• Email Notifications: Configure SMTP settings in the config.yaml file.
• AI Model: Customize the detection sensitivity in settings.py.
• User Management: Admins can manage users through the web interface.
• Google Drive: Set the target folder for uploads in the settings.

---

Usage

1. Launch the application using the command line.
2. Access the web interface via http://localhost:8000.
3. Configure detection and notification settings as required.
4. Start monitoring and enjoy the automated features!

---

Requirements

• Python 3.8+
• OpenCV
• TensorFlow or PyTorch (for AI model)
• Google API Client Library
• SMTP server for email notifications

---

Roadmap

• Add support for additional AI models.
• Enhance user interface for better usability.
• Enable integration with other cloud storage providers.
• Introduce mobile app notifications.

---

Contribution

We welcome contributions from the community! Please submit pull requests or report issues on our GitHub repository.

---

License

This project is licensed under the MIT License.

---

Contact

For any questions or support, please contact us at support@yourcompany.com.