Add README.md for Surveillance Dashboard

- Introduced comprehensive documentation outlining the features, project structure, requirements, setup instructions, and environment variables for the surveillance dashboard application.
- Included details on person detection, group gathering alerts, and GPU requirements for optimal performance.

README.md

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+# Surveillance Dashboard
+
+Real-time multi-camera surveillance app with:
+
+- Person detection using Ultralytics YOLO
+- Group gathering detection (2+ people together)
+- Alert when group duration is over 20 seconds
+- Web dashboard with live feed, camera selector, and alert history
+- GPU-only inference (CUDA required)
+
+## Features
+
+- Switch between multiple cameras from UI
+- Draw person boxes and group timer overlays
+- Save alert snapshots to `alerts/`
+- Read camera credentials from `.env`
+
+## Project Structure
+
+- `camera_stream.py` - backend stream processing, detection, and API
+- `templates/dashboard.html` - dashboard UI
+- `requirements.txt` - minimal Python dependencies
+- `.env` - credentials and camera IPs
+- `alerts/` - captured alert images
+
+## Requirements
+
+- Python 3.11+ (3.14 can work but ecosystem support may vary)
+- NVIDIA GPU + CUDA drivers
+- RTSP cameras reachable from this machine
+- Utopia VPN access to reach the camera network
+
+## Setup
+
+Create and activate virtual environment:
+
+```powershell
+python -m venv .venv
+.\.venv\Scripts\Activate.ps1
+```
+
+Install PyTorch with CUDA (recommended command from PyTorch site):
+
+```powershell
+pip install torch torchvision --index-url https://download.pytorch.org/whl/cu124
+```
+
+Install project dependencies:
+
+```powershell
+pip install -r requirements.txt
+```
+
+## Environment Variables
+
+Create `.env` in project root:
+
+```env
+username=YOUR_CAMERA_USERNAME
+password=YOUR_CAMERA_PASSWORD
+camera_ip_1=192.168.x.x
+camera_ip_2=192.168.x.x
+```
+
+To add more cameras, add more `camera_ip_*` keys and update code list size if needed.
+
+## Run
+
+```powershell
+.\.venv\Scripts\python camera_stream.py
+```
+
+Open:
+
+- http://localhost:5000
+
+## Notes
+
+- App is configured to require CUDA GPU; it will exit if CUDA is not available.
+- Alert condition: at least 2 people in a group for 20+ seconds.
+- Alert snapshots are stored in `alerts/`.
+- Utopia VPN is required to access camera streams from outside the office network.
+- For VPN or camera network access, contact Samad (IT Department, Head Office).