Smart Truck Yard Management System (Graduation Project, KFUPM)
AI-driven logistics platform using computer vision to track yard occupancy.
- 90%+ occupancy tracking accuracy
- Computer Vision
- Python
- Predictive Analytics
- Dashboards
Computer-vision occupancy tracking over the yard camera feed
Problem
Truck yards track capacity manually, which is slow and error-prone at scale, making it hard for operators to make timely decisions about incoming loads and resources.
Approach
- 01
Built a computer vision model to detect and track yard occupancy from camera feeds in real time.
- 02
Paired the model with analytics dashboards that surface capacity trends for operational decisions.
Results
Occupancy tracking accuracy above 90%, giving operators a reliable, automated view of yard capacity instead of manual counts.
What I'd improve
Extend the model to handle more camera angles and lighting conditions.