Jun Song
Computer science
Hometown: Suncheon-si, Choolanam-do, South Korea
Graduation date: Fall 2025
Additional details: Transfer student
FURI | Summer 2024, Needs Review
Building YMS (Yard Management System) using Machine Learning and Optical Character Recognition Technology
This project addresses the research question: “How can Machine Learning (ML) and Optical Character Recognition (OCR) technologies be effectively leveraged to optimize yard management processes and reduce inefficiencies in logistics operations, particularly in automating the identification and processing of container numbers, vehicle details, and driver information at entry gates?” The project aims to replace the manual yard management system, which leads to errors and congestion during peak periods, with an automated system using CCTV and OCR technologies. This will reduce processing times, minimize gate congestion, and improve operational efficiency and data accuracy. The project also explores the broader implications of these technologies in logistics and transportation, contributing to advancements in data analysis, machine learning education, and the application of AI in real-world scenarios.
Mentor: Ryan Meuth
It’s hip to be square.
Students presenting projects at the Fulton Forge Student Research Expo are encouraged to download this personal QR code and include it within your poster. This allows expo attendees to explore more about your project and about you in the future.
Right click the image to save it to your computer.