Real-Time Restricted Area Monitoring System with Yolo

This project integrates FastAPI and Streamlit to create a real-time monitoring dashboard for object detection logs stored in a CSV file.

• FastAPI handles real-time WebSocket communication.
• Streamlit provides an interactive and dynamic UI for live visualization.

• ✅ Real-time Object Detection with Streamlit for continuous video streaming.
• ✅ Live Data Dashboard powered by FastAPI.
• ✅ Automatic Data Refresh every second.
• ✅ Interactive Analytics & Insights with Pandas.
• ✅ CSV-based Logging for easy data handling and monitoring.

Follow these steps to set up the project:

Ensure you have Python installed, then run the following command to install required dependencies:

pip install -r requirements.txt

Run the FastAPI server to serve data via WebSockets:

uvicorn fastapi_run:app --reload

• 🔗 Server URL: http://127.0.0.1:8000

Start the Streamlit frontend:

streamlit run streamlit_run.py

• 📊 Your real-time Video Streaming dashboard will open in your web browser!

• Data Handling: Reads live data from detection_log.csv.
• Real-Time Data: Uses WebSockets to push real-time detection logs to connected clients without requiring page refreshes.
• Live Data Monitoring:
  • Displays updates on object detection and violations.
  • Real-time updates of detection and violation counts on the dashboard.

• Total Detections: Displays the total number of detected objects in real time.
• Total Violations 🚨: Displays the number of violations detected (e.g., unauthorized access).
• Most Frequent Class: Shows the most frequently detected object class.

• Object with Confidence: Bar chart visualizing the confidence levels of detected objects.
• Violation Counts by Time of Day: Pie chart illustrating violation distribution by time.

• Displays a table with recent detection data: timestamp, object class, confidence percentage, and violation status.
• Shows a message like “Waiting for live data…” when no data is available.

– **Real-Time Intrusion Detection**: Detects objects using YOLO and triggers alerts when specific objects enter a restricted area. – **Restricted Area**: Defines a central restricted area to monitor violations. – **Sound Alerts**: Triggers sound alerts when an object enters the restricted area. – **Detection Logging**: Logs detection data to a CSV file when a restricted area violation occurs.

Once both servers are running, open the Streamlit dashboard in your browser to start monitoring real-time detections and insights! 🚀

• 📡 Monitor, analyze, and visualize data live!

• 💻 Fork & Customize: Improve and adapt this project for your needs.
• 📩 Feedback & Suggestions: Always welcome!

🚀 Made with ❤️ by ApyCoder