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All Journal JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Varian Jurnal Bumigora Information Technology (BITe) Prosiding Seminar Nasional Pengabdian Kepada Masyarakat JASTEN (Jurnal Aplikasi Sains Teknologi Nasional Nucleus Journal
Radimas Putra Muhammad Davi Labib
Institut Teknologi Nasioanal Malang
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Physics Public Health Social Sciences Other

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Deteksi Objek Menggunakan YOLO V3 Untuk Keamanan Pada Pergerakan Kursi Roda Elektrik Wahyu Krisna Wijaya; I Komang Somawirata; Radimas Putra Muhammad Davi Labib
Nucleus Journal Vol. 1 No. 2 (2022): November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v1i2.49

Abstract

Image processing system is a system that has been developed to date. By using an image processing system, an image can be processed into the required information. In this study, an image processing system was created using the You Only Look Once (YOLO) algorithm which is a part of the Convolutional Neural Network (CNN) [1]. This system can be applied to electric wheelchairs, especially for detecting objects from the road surface they pass. The system that will be created is to detect objects in front of the wheelchair using image processing with the You Only Look Once (YOLO) algorithm method for the safe movement of electric wheelchairs. So when the wheelchair is running, it will simultaneously detect obstacles in front of it, both from the condition of the road surface and objects in front that will block the path of the electric wheelchair. Then, the detection results will be displayed on the monitor screen in front of the driver. As a result, detection can be used for braking control of the movement of electric wheelchairs to support security systems, but here the focus is more on object detection.
Co-Authors Aedil Akmal Alfarid Aryuanto Soetedjo Baso Maruddani Bima Romadhon Parada Dian Palevi Citra Dewi Megawati Davi Labib Dewi, Puspita I Komang Somawirata I Made Wartana Irmalia Suryani Faradisa Khairan marzuki M. Abd Hamid M. Ibrahim Ashari M. Ibrahim Ashari Moch Sukardjo Ni Putu Agustini Ni Putu Agustini Parama Diptya Widayaka Pitoyo Yuliatmojo Prama Diptya Widayaka Reza Diharja Reza Diharja Septa Yudha Prasetya Sirojul Hadi Sri Wahyuni Wahyu Krisna Wijaya Zulfikar Zauzi Zulfikar Zauzi