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SocieTrack AI: Intelligent Vehicular Surveillance

Partner
Sanvi Technologies· United Kingdom
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
Week 1
The Eyes
- Setup Google Colab and AI environment
- Implement YOLOv8/v10 vehicle detection
- Object filtering for cars and motorcycles
Week 2
The Brain
- Integrate ByteTrack for unique ID persistence
- Define virtual tripwires for Entry/Exit logic
- Implement directional motion detection
Week 3
The Memory
- Automate license plate cropping
- Integrate OCR for text recognition
- Design and link SQLite database schema
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.