Development of vehicle number recognition system using deep learning-based CCTV and drone images of the Korean Civil Engineering Society, Lee Geun-sang, a professor at Jeonju Vision University, Kim Young-joo, and Ko Dae-kyung, a researcher at Jeonju Vision University
Attachment [Korean Civil Engineering Society]_Development of vehicle number recognition system using deep learning-based CCTV drone video_Store computer in Jeonju Vision University Lee Geun-sang.pdf file download
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In this study, a system was developed to effectively perform vehicle numbers using CCTV and drone video data.In particular, Boundary Box, which plays a key role in vehicle number recognition, was detected with anchor box generation technology and vehicle number recognition was performed through data expansion and CNN algorithms.It has also made it possible to perform tasks such as tracking delinquent and fleeing vehicles, including real-time vehicle detection functions.As a result, it is believed that it will be able to support more effective vehicle and illegal parking management when promoting smart city projects in the future.
In this study, a system was developed to effectively perform vehicle numbers using CCTV and drone video data.In particular, Boundary Box, which plays a key role in vehicle number recognition, was detected with anchor box generation technology and vehicle number recognition was performed through data expansion and CNN algorithms.It has also made it possible to perform tasks such as tracking delinquent and fleeing vehicles, including real-time vehicle detection functions.As a result, it is believed that it will be able to support more effective vehicle and illegal parking management when promoting smart city projects in the future.
The project was supported by the Korea Land Information Corporation (LX)’s 2019 Industry-Academic Cooperation R&D Free Task (Jeonju Smart City Digital Twin Illegal Parking Monitoring: 2019-505).
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