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Engineering Proceedings
Volume 58
Issue 1
10.3390/ecsa-10-16238
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Proceeding Paper

Internet of Things-Based Smart Helmet with Accident Identification and Logistics Monitoring for Delivery Riders †

by
Alyssa Dainelle T. Alcantara
,
Ramon Balancer H. Balbuena III
,
Venlester B. Catapang
*,
John Patrick M. Catchillar
,
Rick Edmond P. De Leon
,
Steven Niño A. Sanone
,
Charles G. Juarizo
,
Carlos C. Sison
and
Eufemia A. Garcia
Department of Electronics Engineering, Pamantasan ng Lungsod ng Maynila, Manila 1002, Philippines
*
Author to whom correspondence should be addressed.
†
Presented at the 10th International Electronic Conference on Sensors and Applications (ECSA-10), 15–30 November 2023; Available online: https://ecsa-10.sciforum.net/.
Eng. Proc. 2023, 58(1), 129; https://doi.org/10.3390/ecsa-10-16238
Published: 15 November 2023
(This article belongs to the Proceedings of The 10th International Electronic Conference on Sensors and Applications)
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Abstract

The study developed a smart helmet prototype that prioritizes delivery rider safety and facilitates logistical communication for small businesses. This was achieved with a smart helmet, utilizing IoT equipped with crash detection and logistics monitoring functions. Various sensors such as an accelerometer and alcohol sensors were calibrated to improve accuracy and minimize errors. A mobile application was introduced to coordinate delivery logistics and track the location of drivers. The system had 90% accuracy in distinguishing real accidents, and it also had drunk driver detection with an accuracy of 88%. An ATTM336H GPS module was used for geolocation tracking, and a mobile application built with Bubble.io and Firebase was integrated into the helmet to send alerts the shop owners of Roger’s Top Silog House who provided delivery drivers as participants for the study, who gave us positive feedback indicating that our smart helmet performed very well and exceeded expectations.
Keywords: Bubble.io; crash detection; Firebase; internet of things; logistics monitoring; smart helmet Bubble.io; crash detection; Firebase; internet of things; logistics monitoring; smart helmet

Share and Cite

MDPI and ACS Style

Alcantara, A.D.T.; Balbuena, R.B.H., III; Catapang, V.B.; Catchillar, J.P.M.; De Leon, R.E.P.; Sanone, S.N.A.; Juarizo, C.G.; Sison, C.C.; Garcia, E.A. Internet of Things-Based Smart Helmet with Accident Identification and Logistics Monitoring for Delivery Riders. Eng. Proc. 2023, 58, 129. https://doi.org/10.3390/ecsa-10-16238

AMA Style

Alcantara ADT, Balbuena RBH III, Catapang VB, Catchillar JPM, De Leon REP, Sanone SNA, Juarizo CG, Sison CC, Garcia EA. Internet of Things-Based Smart Helmet with Accident Identification and Logistics Monitoring for Delivery Riders. Engineering Proceedings. 2023; 58(1):129. https://doi.org/10.3390/ecsa-10-16238

Chicago/Turabian Style

Alcantara, Alyssa Dainelle T., Ramon Balancer H. Balbuena, III, Venlester B. Catapang, John Patrick M. Catchillar, Rick Edmond P. De Leon, Steven Niño A. Sanone, Charles G. Juarizo, Carlos C. Sison, and Eufemia A. Garcia. 2023. "Internet of Things-Based Smart Helmet with Accident Identification and Logistics Monitoring for Delivery Riders" Engineering Proceedings 58, no. 1: 129. https://doi.org/10.3390/ecsa-10-16238

APA Style

Alcantara, A. D. T., Balbuena, R. B. H., III, Catapang, V. B., Catchillar, J. P. M., De Leon, R. E. P., Sanone, S. N. A., Juarizo, C. G., Sison, C. C., & Garcia, E. A. (2023). Internet of Things-Based Smart Helmet with Accident Identification and Logistics Monitoring for Delivery Riders. Engineering Proceedings, 58(1), 129. https://doi.org/10.3390/ecsa-10-16238

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