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    SocieTrack AI: Intelligent Vehicular Surveillance

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    Partner

    Sanvi Technologies· United Kingdom

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    Overview

    SocieTrack AI is an immersive 4-week project designed for young engineers. Students will build a production-grade traffic monitoring system from scratch, utilizing YOLO for vehicle detection, ByteTrack for unique ID tracking, and OCR for license plate recognition. The program culminates in a functional security dashboard that flags unknown guests and overstays, providing a real-world application of AI and data engineering for residential safety.

    Areas of interest

    Artificial IntelligenceComputer VisionSoftware EngineeringData Science

    What you'll learn

    Skills you'll gain

    • Python Programming
    • Computer Vision Logic
    • Object Tracking
    • Database Management
    • State Machine Design
    • UI Development

    Tools & technologies

    • OpenCV
    • Ultralytics YOLO
    • ByteTrack
    • SQLite
    • Streamlit
    • Google Colab
    • PaddleOCR

    Outcomes

    • A functional vehicle monitoring PoC
    • Real-time security alert system
    • Knowledge of end-to-end AI pipelines
    • Collaborative software development experience

    Week-wise schedule

    1. Week 1

      The Eyes

      • Setup Google Colab and AI environment
      • Implement YOLOv8/v10 vehicle detection
      • Object filtering for cars and motorcycles
    2. Week 2

      The Brain

      • Integrate ByteTrack for unique ID persistence
      • Define virtual tripwires for Entry/Exit logic
      • Implement directional motion detection
    3. Week 3

      The Memory

      • Automate license plate cropping
      • Integrate OCR for text recognition
      • Design and link SQLite database schema
    4. Week 4

      The Command Center

      • Build a live monitoring dashboard in Streamlit
      • Configure Anomaly Engine (Overstay/Unknown alerts)
      • Final system stress testing and presentation

    Pre-requisites

    • Basic Python knowledge (loops, functions, lists)
    • Strong logical reasoning background
    • Laptop with stable internet access

    Who is this for?

    • Students aged 15-18
    • Aspiring software engineers
    • AI and Robotics enthusiasts

    Ready to take on this project?

    Apply now and start working on real-world impact with our partner team.