Smart vehicle height detection for limited height roads

• Autorzy: Mohammed Emad A. , Abdullah Emad Sleman

Identyfikatory

DOI

10.15199/48.2022.08.16

Warianty tytułu

PL

Inteligentne wykrywanie wysokości pojazdu na drogach o ograniczonej wysokości)

• Języki publikacji: EN

Abstrakty

EN

Traffic congestion has become more prevalent in metropolitan areas, necessitating the reorganization of roads and their management through Computer vision technologies. One of the techniques is to determine the height vehicles allowed to use the road, and identify the license plates of vehicles an efficient traffic monitoring system has been proposed. the proposed system works by detecting objects (vehicles) and use the laws of area to calculate vehicle heights, as well as license plate detection using the yolov4 and yolov5 networks.

PL

Zatory komunikacyjne stały się bardziej powszechne w obszarach metropolitalnych, co wymaga reorganizacji dróg i zarządzania nimi za pomocą technologii wizji komputerowej. Jedną z technik jest wyznaczanie wysokości pojazdów dopuszczonych do ruchu oraz identyfikacja tablic rejestracyjnych pojazdów, zaproponowano skuteczny system monitorowania ruchu. proponowany system działa na zasadzie wykrywania obiektów (pojazdów) i wykorzystuje prawa powierzchni do obliczania wysokości pojazdów, a także wykrywanie tablic rejestracyjnych za pomocą sieci yolov4 i yolov5.

Słowa kluczowe

EN

plate number; object detection; YOLOV4; YOLOv5

PL

wykrywanie obiektu; pomiar wysokopści obiektu; system monitorowania ruchu

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2022
• Tom: R. 98, nr 8
• Strony: 84--88
• Opis fizyczny: Bibliogr. 26 poz.,rys., tab.

Twórcy

autor

Mohammed Emad A.

• Northern Technical University, Engineering Technical College of Mosul, Department of Computer Engineering Technology, Iraq

autor

Abdullah Emad Sleman

• Northern Technical University, Engineering Technical College of Mosul, Department of Computer Engineering Technology, Iraq

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).