# 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:** ```bash git clone cd ## Set Up a Virtual Environment Create a virtual environment to manage dependencies: ```bash python -m venv venv ``` Activate it : ```bash venv\Scripts\activate ``` ### Install Dependencies ```bash pip install -r requirements.txt ``` # samyak