Enhancing Road Safety: Real-Time Distracted Driver Detection Using Nvidia Jetson Nano and YOLOv8

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dc.authoridN. Neamah, Osamah/0009-0008-6299-7789
dc.contributor.authorNeamah, Osamah N.
dc.contributor.authorAlmohamad, Tarik Adnan
dc.contributor.authorBayir, Raif
dc.date.accessioned2024-09-29T16:04:31Z
dc.date.available2024-09-29T16:04:31Z
dc.date.issued2024
dc.departmentKarabük Üniversitesien_US
dc.descriptionZooming Innovation in Consumer Technologies Conference (ZINC) -- MAY 22-23, 2024 -- Novi Sad, SERBIAen_US
dc.description.abstractThis study introduces an innovative approach that combines cutting-edge technology and advanced models for real-time applications. Leveraging the performance of the Nvidia Jetson Nano, alongside an integrated camera and GSM/GPS module, our innovative system demonstrates both its practicality and versatility. Specifically, by employing the YOLOv8 classification model for handling State Farm Distracted Driver Detection data which underscores its adaptability and effectiveness in this critical domain. Additionally, our research thoroughly assesses computational efficiency, exploring both hardware and software-based analysis methods. This work is a cornerstone in harnessing technology for real-world impact, merging innovation with practicality and comprehensive evaluation.en_US
dc.description.sponsorshipIEEEen_US
dc.identifier.doi10.1109/ZINC61849.2024.10579437
dc.identifier.endpage198en_US
dc.identifier.isbn979-8-3503-4915-3
dc.identifier.isbn979-8-3503-4916-0
dc.identifier.scopus2-s2.0-85199213789en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage194en_US
dc.identifier.urihttps://doi.org/10.1109/ZINC61849.2024.10579437
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6186
dc.identifier.wosWOS:001266171500044en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2024 Zooming Innovation in Consumer Technologies Conference, Zinc 2024en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDeep Learningen_US
dc.subjectYOLOv8en_US
dc.subjectDistracted Driver Detectionen_US
dc.subjectDriver Behavioren_US
dc.subjectVehicle to Everythingen_US
dc.titleEnhancing Road Safety: Real-Time Distracted Driver Detection Using Nvidia Jetson Nano and YOLOv8en_US
dc.typeConference Objecten_US

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