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논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 The Method for Providing of Parking Location Guidance Service in a Smart Parking Lot
Cited 1 time in scopus Download 7 time Share share facebook twitter linkedin kakaostory
저자
김은주, 유웅식, 표철식
발행일
202010
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1899-1901
DOI
https://dx.doi.org/10.1109/ICTC49870.2020.9289517
초록
We proposed a parking location guidance service method using deep learning model in a smart parking lot. License plate image detection and character recognition are required to guide the parking location, and both of these steps use machine learning methods. In particular, the edge system and the server are mounted with a learning model so as not to generate a lot of traffic by transmitting all vehicle images to the server, and the edge system cut only the license plate image using the vehicle license plate detection learning model and transmits it to the server. In the server mounted with the recognition learning model, only license plate images are collected to recognize license plate characters. Rather than performing both license plate image detection and license plate character recognition in the server, it will be much more efficient to cut the license plate image in the edge system and transmit only image information necessary for character recognition to the server as it can reduce the traffic load.
키워드
Deep learning model, License plate(LP) Recognition, Smart parking lot
KSP 제안 키워드
Image information, Learning model, License plate character recognition, License plate image, Machine Learning Methods, Traffic Load, Vehicle license plate detection, deep learning(DL), image detection, smart parking lot, vehicle images