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http://dx.doi.org/10.14702/JPEE.2021.491

Real-time Parking Lot Information Service Using Machine Learning-Based Object Detection  

Seo, Gyu-seung (Department of Computer Science, Koreatech)
Seo, Young-tak (Department of Computer Science, Koreatech)
Baek, Chun-ki (Department of Computer Science, Koreatech)
Moon, Il-young (Department of Computer Science, Koreatech)
Publication Information
Journal of Practical Engineering Education / v.13, no.3, 2021 , pp. 491-496 More about this Journal
Abstract
In this thesis, we intend to use CCTVs installed in existing parking lots to understand the current status of parking lots and provide real-time information to users through Android applications. It describes how to set the ROI in the parking area using YOLO V3 and how to provide the number of vacancies that change in real time through the set ROI, and describes how to link CCTV-server-user using IMAGE ZMQ and FIREBASE. The user can know the real-time situation of the parking lot near the destination before arriving through the application and can come up with various measures accordingly.
Keywords
Computer vision; Object detection; Real-Time; Yolo;
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  • Reference
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