Motorcycle safety system using ZigBee, breath analyzer, pressure sensors and light indicators
Date of Publication
Bachelor of Arts Major in Psychology
College of Liberal Arts
Miguel O. Gutierrez
Defense Panel Chair
Ann E. Dulay
Defense Panel Member
Aaron Don M. Africa
Mark Lorenze R. Torregoza
The thesis Motorcycle safety System using ZigBee, Breath Analyzer, Pressure Sensors, and Light Indicators is a project that integrates sensors, wireless communication, DC Motors, and microcontrollers. This project is designed to have a motorcycle system that will monitor if the driver and back rider are wearing protective headgear and are sober. The motorcycle will only be enabled when such conditions are met. In the event that either the back rider or driver is not wearing a helmet and/or inebriated, DC motors will activate and lock both the brake and the throttle of the motorcycle.
This motorcycle system was made possible through the use of sensors such as pressure sensors and breath analyzers. Also, with the use of microcontrollers in the motorcycle and both of the helmets, the group created a program that will send and receive signals that will either disable or enable the throttle and brake of the motorcycle. The method of communication between the motorcycle and the helmets is through ZigBee that send and receive data, to and from the microcontrollers. Signal lights are also displayed at the back of the helmet and are controlled wirelessly.
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
1v. various foliations : illustrations (some colored) ; 28 cm.
Cabangon, D. C., Maralit, M. B., Prias, C. T., & Revilla, J. V. (2014). Motorcycle safety system using ZigBee, breath analyzer, pressure sensors and light indicators. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/10584