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Automatic Helmet Sanitizer with Brush and Multi-Mode Payment System


Authors : Kyle Christian D, Ordoñez; Mitchel Miles D. Montalla; Zyrus Khister M. Sixto; Gabriel Cahrl Andrei L. Valla; Earl Luis L. Javier; Tommy A. Ditucalan

Volume/Issue : Volume 11 - 2026, Issue 3 - March


Google Scholar : https://tinyurl.com/28289k7r

Scribd : https://tinyurl.com/yc7ebn9t

DOI : https://doi.org/10.38124/ijisrt/26mar1657

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This study outlines the design and construction of an Automatic Helmet Sanitizer with Brush and Multi-Mode Payment System to enhance the helmet cleaning and convenience to the users of motorcycles. The system combines UV-C light sterilization, mechanical brushing, and mist disinfectant to adequately clean the interior and exterior parts of motorcycle helmets. To increase accessibility, the system accommodates various options of payment such as coin, QR based e-wallet, and cryptocurrency payments. The research design used was that of development, which involved laboratory testing, expert validation and user satisfaction survey to determine the performance of the systems. Findings indicated 80% sanitation efficiency, significantly reducing bacteria, fungi, and odor-producing microorganisms, which demonstrates its effectiveness in improving helmet hygiene. The overall mean score was 3.74 which was evaluated as a strong level of approval of the overall effectiveness of the system, its usability and payment capabilities. The results indicate that the suggested system is an effective, credible, and easy to use solution that has a good prospect of being applied in the real world in both the public and commercial environments.

Keywords : Automatic Helmet Sanitizer; Sanitization; Helmet Hygiene; Disinfectant.

References :

  1. S. Sapkota, S. Khadka, S. Adhikari, A. Parajuli, H. Kandel, and R. S. Regmi, “Microbial diversity and antibiotic susceptibility pattern of bacteria associated with motorcycle helmets,” International Journal of Microbiology, vol. 2020, Art. ID 8877200, 2020.
  2. K. R. K. Yesodha, A. Jagadeesan, and J. Logeshwaran, “IoT applications in modern supply chains: Enhancing efficiency and product quality,” in Proceedings of the IEEE 2nd International Conference on Industrial Electronics: Developments and Applications (ICIDeA), 2023, pp. 366–371.
  3. R. Thompson, P. Garcia, and M. Shah, “Adoption and behavioral insights of automated sanitizing systems,” Technology in Society, vol. 73, Art. no. 102234, 2023.
  4. K. A. Quirante, J. U. Improso, N. D. Torre, and A. Venida, “Contactless hand sanitation receptacle using low- pressure misting system with built-in temperature scanner,” The Pendulum, vol. 17, no. 1, pp. 307–336, 2022.
  5. W. Alam, D. Sarma, R. J. Chakma, M. J. Alam, and S. Hossain, “Internet of things based smart vending machines using digital payment systems,” Indonesian Journal of Electrical Engineering and Informatics, vol. 9, no. 3, pp. 719–731, 2021.
  6. J. P. Santos and L. D. Ramirez, “Assessing hygiene practices among motorcycle ride-sharing services in Metro Manila,” Philippine Journal of Public Health, vol. 4, no. 2, pp. 112–118, 2021.
  7. F. R. De Guzman, M. Delos Santos, and K. Rivera, “Helmet hygiene among delivery riders in Cavite during the COVID-19 pandemic,” Asian Journal of Multidisciplinary Studies, vol. 10, no. 3, pp. 55–61, 2022.
  8. A. Morales and R. Tamayo, “UV disinfection booths in public transport terminals: A pilot study in Quezon City,” Philippine Journal of Science and Technology, vol. 5, no. 1, pp. 34–40, 2020.
  9. C. Villanueva, J. Reyes, and M. Beltran, “Development of a UV-based helmet sanitizing prototype for public use,” Engineering Research Journal of the Philippines, vol. 8, no. 1, pp. 78–84, 2023.
  10. N. R. Lopez and J. A. Dela Cruz, “Exploring multi- payment integration in vending-style machines in Metro Manila,” Journal of Innovation and Development Studies, vol. 2, no. 2, pp. 22–28, 2024.
  11. I. International Organization for Standardization, “Overview—  ISO standard 20282,”  2006.  [Online]. Available: https://www.iso.org/standard/34122.html
  12. J. P. Q. Tomas and B. Doma, “Motorcycle helmet detection and usage classification in the Philippines using YOLOv5 algorithm,” in Proceedings of the 5th International Conference on Computational Intelligence and Intelligent Systems (CIIS), 2022, pp. 21–25.

This study outlines the design and construction of an Automatic Helmet Sanitizer with Brush and Multi-Mode Payment System to enhance the helmet cleaning and convenience to the users of motorcycles. The system combines UV-C light sterilization, mechanical brushing, and mist disinfectant to adequately clean the interior and exterior parts of motorcycle helmets. To increase accessibility, the system accommodates various options of payment such as coin, QR based e-wallet, and cryptocurrency payments. The research design used was that of development, which involved laboratory testing, expert validation and user satisfaction survey to determine the performance of the systems. Findings indicated 80% sanitation efficiency, significantly reducing bacteria, fungi, and odor-producing microorganisms, which demonstrates its effectiveness in improving helmet hygiene. The overall mean score was 3.74 which was evaluated as a strong level of approval of the overall effectiveness of the system, its usability and payment capabilities. The results indicate that the suggested system is an effective, credible, and easy to use solution that has a good prospect of being applied in the real world in both the public and commercial environments.

Keywords : Automatic Helmet Sanitizer; Sanitization; Helmet Hygiene; Disinfectant.

Paper Submission Last Date
30 - April - 2026

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