IVSS - Integrated Video Surveillance System

IVSS is a multi-camera integrated video surveillance system built in Python. It leverages real-time motion detection, object detection (via YOLO), and face recognition to monitor and alert on security events. The system is designed to be modular and scalable, with a web-based dashboard for live monitoring, alerts, analytics, settings, and face registration.

Features

• Multi-Camera Support:
  Configure and manage multiple camera sources.

• Real-Time Detection:

  • Motion Detection: Uses OpenCV’s background subtraction to detect movement.
  • Object Detection: Utilizes YOLO (via the ultralytics library) to detect objects (e.g., persons).
  • Face Recognition: Detects and recognizes faces using the face_recognition library.

• Alert System:
  Generates alerts based on user-selected detection types. Alerts are sent via email and local notifications, and stored in an SQLite database.

• Web-Based Interface:
  A Flask web application provides:

  • Dashboard: Live camera feeds.
  • Live Monitoring: Multi-camera real-time feed.
  • Alerts & Notifications: View historical alerts.
  • Analytics: System performance and detection statistics.
  • System Settings: Configure camera sources and select detections (with options to delete additional camera sources, while keeping the first as default).
  • Face Registration: A web-based form to register new faces and update face encodings.

Installation

1. Clone the Repository:

   git clone <your-repo-url>
   cd <repository-folder>
   

Set Up a Virtual Environment

Create a virtual environment to manage dependencies:

python -m venv venv

Activate it :

venv\Scripts\activate

Install Dependencies

pip install -r requirements.txt