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Automatic Detection of Helmets on Motorcyclists Using Faster - RCNN

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · Vol. 16 No. 4 (2022) · pp. 357–366

DOI
10.22146/ijccs.68245
ISSN
2460-7258, 1978-1520
Published
2022-10-31
Publisher
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Motorcycles have been a popular choice for a go-to daily means of transportation due to its lower price, making it affordable for high to low-class citizens. Helmets are required for every motorcycle owner so that the rider’s head is protected from accidents. However, not many people follow the rules and tend to not wear helmets and plenty of them underestimate the usage of helmets. For this, it is necessary to implement a system that can detect which rider wears the helmet or not by applying deep learning techniques. This paper aims to implement one of the deep learning techniques, which is Faster R – CNN to detect the helmets and the motorcyclists. After training 400 images using different learning rates, the mean average precision (mAP) achieved the highest with 87% using the learning rate of 0.0001

Keywords

Collaboration network of the authors

40 authors · 65 co-authorship links · 5 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Gadjah Mada
  • University of Ulsan
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Muhammad Dzulfikar FauziUniversitas Gadjah Mada2
Reny Eka SariAffiliation unknown2
Chasandra PuspitasariUniversitas Gadjah Mada1
Kasliono KaslionoUniversitas Gadjah Mada1
Wahyu Sri MulyaniUniversitas Gadjah Mada1
Laksono KurnianggoroUniversity of Ulsan1
Joko HariyonoAffiliation unknown1
Agus HarjokoUniversitas Gadjah Mada1
Abdul KholikUniversitas Gadjah Mada1
Suprapto SupraptoUniversitas Gadjah Mada1
Yaqutina Marjani SantosaUniversitas Gadjah Mada1
Agfianto Eko PutraUniversitas Gadjah Mada1
Nur RokhmanUniversitas Gadjah Mada1
Riska Amalia PraptiwiUniversitas Gadjah Mada1
Cholis MahardhikaAffiliation unknown1
Aida Roihana ZuhroAffiliation unknown1
Amin YusufAffiliation unknown1
Yanuarius Seran FahikAffiliation unknown1
Tri SuminarAffiliation unknown1
Aninda Mawar IntanuariAffiliation unknown1
Siti NurnaningsihAffiliation unknown1
Laela AtikahAffiliation unknown1
Dian ArifianiAffiliation unknown1
Shella PrahastiAffiliation unknown1
Ayu ErawatiAffiliation unknown1
Elizah ElizahAffiliation unknown1
Nuratun ZakiyahAffiliation unknown1
Falilah FalilahAffiliation unknown1
S MartonoAffiliation unknown1
Ariesa PrihartantiAffiliation unknown1
Rusdarti RusdartiAffiliation unknown1
Indah MerakatiAffiliation unknown1
Joko WidodoAffiliation unknown1
Ika Maratus SholekhahAffiliation unknown1
Sucihatiningsih Dian Wisika PrajantiAffiliation unknown1
Mugiono MugionoAffiliation unknown1
Nanda Bella Fidanty ShahnazAffiliation unknown1
Rony Karunia RachmanAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.ugm.ac.id/ijccs/oai, first harvested 26 Oct 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Automatic Detection of Helmets on Motorcyclists Using Faster - RCNN</dc:title>
	<dc:creator>Azhari, Aliyyah Nur</dc:creator>
	<dc:creator>Wahyono, Wahyono</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">Helmets, Motorcycles; Object detection; Deep Learning; Faster R - CNN</dc:subject>
	<dc:description xml:lang="en-US">Motorcycles have been a popular choice for a go-to daily means of transportation due to its lower price, making it affordable for high to low-class citizens. Helmets are required for every motorcycle owner so that the rider’s head is protected from accidents. However, not many people follow the rules and tend to not wear helmets and plenty of them underestimate the usage of helmets. For this, it is necessary to implement a system that can detect which rider wears the helmet or not by applying deep learning techniques. This paper aims to implement one of the deep learning techniques, which is Faster R – CNN to detect the helmets and the motorcyclists. After training 400 images using different learning rates, the mean average precision (mAP) achieved the highest with 87% using the learning rate of 0.0001</dc:description>
	<dc:publisher xml:lang="en-US">IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.</dc:publisher>
	<dc:contributor xml:lang="en-US">Universitas Gadjah Mada</dc:contributor>
	<dc:date>2022-10-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.ugm.ac.id/ijccs/article/view/68245</dc:identifier>
	<dc:identifier>10.22146/ijccs.68245</dc:identifier>
	<dc:source xml:lang="en-US">IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 16, No 4 (2022): October; 357-366</dc:source>
	<dc:source>2460-7258</dc:source>
	<dc:source>1978-1520</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.ugm.ac.id/ijccs/article/view/68245/34983</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 IJCCS (Indonesian Journal of Computing and Cybernetics Systems)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>