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Smart Motorcycle Helmet:Real-Time Crash Detection with Emergency Notification, Tracker and Anti-Theft System using Internet-of-Things Cloud based Technology


Affiliations
1 College of Information and Communications Technology Holy Angel University, Angeles, Philippines
2 Future University, Khartoum, Sudan
 

Buying a car entails a cost, not counting the day to day high price tag of gasoline. People are looking for viable means of transportation that is cost-effective and can move its way through traffic faster. In the Philippines, motorcycle was the answer to most people transportation needs. With the increasing number of a motorcycle rider in the Philippines safety is the utmost concern. Today technology plays a huge role on how this safety can be assured. We now see advances in connected devices. Devices can sense its surrounding through sensor attach to it. With this in mind, this study focuses on the development of a wearable device named Smart Motorcycle Helmet or simply Smart Helmet, whose main objective is to help motorcycle rider in times of emergency. Utilizing sensors such as alcohol level detector, crash/impact sensor, Internet connection thru 3G, accelerometer, Short Message Service (SMS) and cloud computing infrastructure connected to a Raspberry Pi Zero-W and integrating a separate Arduino board for the anti-theft tracking module is used to develop the propose Internet-of Things (IoT) device.

Using quantitative method and descriptive type research, the researchers validated the results from the inputs of the participant who tested the smart helmet during the alpha and beta testing process. Taking into account the ethical consideration of the volunteers, who will test the Smart Helmet. To ensure the reliability of the beta and alpha testing, ISO 25010 quality model was used for the assessment focusing on the device accuracy, efficiency and functionality. Based on the inputs and results gathered, the proposed Smart Helmet IoT device can be used as a tool in helping a motorcycle rider when an accident happens to inform the first-responder of the accident location and informing the family of the motorcycle rider.


Keywords

Smart Helmet, Internet of Things, Sensors, Real-Time Crash Detection, Emergency Notification, Tracker, Anti-Theft System Cloud Based Technology.
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  • Mascarinas, E. M. (2016). Study in better safety measures for motorcycles urged - SUNSTAR. Retrieved December 11, 2018, from https://www.sunstar.com.ph/article/111646

  • L. Ramos. (2018). Road Accidents In The Philippines: Key Figures - eCompareMo - eCompareMo.Retrieved December 11, 2018, from https://www.ecomparemo.com/info/road-accidents-in-the-philippines-key-figures/

  • Nandu, R., & Singh, K. (2014). Smart Helmet for Two-Wheelers. Advances in Automobile Engineering, 03(01), 1–2. https://doi.org/10.4172/2167-7670.1000110

  • Sung, K.-M., Noble, J., Kim, S.-C., Jeon, H.-J., Kim, J.-Y., Do, H.-H., … Baek, K.-J. (2016). The Preventive Effect of Head Injury by Helmet Type in Motorcycle Crashes: A Rural Korean Single-Center Observational Study. BioMed Research International, 2016, 1–7. https://doi.org/10.1155/2016/1849134

  • J. Dodson. (n.d.). Motorcycle Crashes and Brain Injuries | Jim Dodson Law. Retrieved December 11, 2018, from https://www.jimdodsonlaw.com/library/motorcycle-crashes-and-brain-injuries.cfm

  • W. Tan. (2018). WHO PH: Over 90% of Motorcycle Deaths Didn’t Wear Helmets - Carmudi Philippines. Retrieved December 18, 2018, from https://www.carmudi.com.ph/journal/philippines-90-motorcycle-deaths-didnt-wear-helmets/

  • Lahausse, J. A., Fildes, B. N., Page, Y., & Fitzharris, M. P. (2008). The potential for automatic crash notification systems to reduce road fatalities. Annals of Advances in Automotive Medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference, 52, 85–92. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/19026225

  • M. Glasscoe. (n.d.). What is GPS? Retrieved December 11, 2018, from http://scecinfo.usc.edu/education/k12/learn/gps1.htm

  • Brodsky, H. (n.d.). Emergency Medical Service Rescue Time in Fatal Road Accidents. Retrieved from http://onlinepubs.trb.org/Onlinepubs/trr/1990/1270/1270-011.pdf

  • J. Porter. (2018). The History of IoT (Internet of Things) and How It’s Changed Today. Retrieved December 18, 2018, from https://www.techprevue.com/history-iot-changed-today/

  • Vishal, D., Afaque, H. S., Bhardawaj, H., & Ramesh, T. K. (2018). IoT-driven road safety system. International Conference on Electrical, Electronics, Communication Computer Technologies and Optimization Techniques, ICEECCOT 2017, 2018–Janua, 862–866. https://doi.org/10.1109/ICEECCOT.2017.8284624

  • Dickenson. (2016). How IoT and machine learning can make our roads safer | TechCrunch. Retrieved December 18, 2018, from https://techcrunch.com/2016/07/13/how-iot-and-machine-learning-can-make-our-roads-safer/

  • Faizan Manzoor, S. A. B. (2017). Faaz smart helmet, 6(6), 332–335.

  • Hobby, K. C., Gowing, B., & Matt, D. P. (2016). Smart helmet, 5(3), 660–663.

  • Khaja, M., Aatif, A., & Manoj, A. (2017). Smart Helmet Based On IoT Technology, 5(Vii), 409–413.

  • Motorcyclist age group and gender data - TAC - Transport Accident Commission. (n.d.). Retrieved April 20, 2019, from http://www.tac.vic.gov.au/road-safety/statistics/summaries/motorcycle-crash-data/motorcyclist-age-group-and-gender-data

  • Amir, G. (n.d.). Prototyping Model in Software Development and Testing. Retrieved January 22, 2019, from https://www.testingexcellence.com/prototyping-model-software-development/

  • The Importance of Alpha & Beta Testing Services | Software Testing Tips and Best Practices. (n.d.). Retrieved April 21, 2019, from https://blog.testmatick.com/2016/04/19/the-importance-of-alpha-beta-testing-services/


Abstract Views: 346

PDF Views: 196




  • Smart Motorcycle Helmet:Real-Time Crash Detection with Emergency Notification, Tracker and Anti-Theft System using Internet-of-Things Cloud based Technology

Abstract Views: 346  |  PDF Views: 196

Authors

Marlon Intal Tayag
College of Information and Communications Technology Holy Angel University, Angeles, Philippines
Maria Emmalyn Asuncion De Vigal Capuno
Future University, Khartoum, Sudan

Abstract


Buying a car entails a cost, not counting the day to day high price tag of gasoline. People are looking for viable means of transportation that is cost-effective and can move its way through traffic faster. In the Philippines, motorcycle was the answer to most people transportation needs. With the increasing number of a motorcycle rider in the Philippines safety is the utmost concern. Today technology plays a huge role on how this safety can be assured. We now see advances in connected devices. Devices can sense its surrounding through sensor attach to it. With this in mind, this study focuses on the development of a wearable device named Smart Motorcycle Helmet or simply Smart Helmet, whose main objective is to help motorcycle rider in times of emergency. Utilizing sensors such as alcohol level detector, crash/impact sensor, Internet connection thru 3G, accelerometer, Short Message Service (SMS) and cloud computing infrastructure connected to a Raspberry Pi Zero-W and integrating a separate Arduino board for the anti-theft tracking module is used to develop the propose Internet-of Things (IoT) device.

Using quantitative method and descriptive type research, the researchers validated the results from the inputs of the participant who tested the smart helmet during the alpha and beta testing process. Taking into account the ethical consideration of the volunteers, who will test the Smart Helmet. To ensure the reliability of the beta and alpha testing, ISO 25010 quality model was used for the assessment focusing on the device accuracy, efficiency and functionality. Based on the inputs and results gathered, the proposed Smart Helmet IoT device can be used as a tool in helping a motorcycle rider when an accident happens to inform the first-responder of the accident location and informing the family of the motorcycle rider.


Keywords


Smart Helmet, Internet of Things, Sensors, Real-Time Crash Detection, Emergency Notification, Tracker, Anti-Theft System Cloud Based Technology.

References