This paper is published in Volume-5, Issue-2, 2019
Area
Computer Science And Engineering
Author
Kabilan M., Monish S., Dr. S. Siamala Devi
Org/Univ
Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
Keywords
Camera, Emergency contacts, GPS, Internet of Things, Raspberry Pi, Smart helmet
Citations
IEEE
Kabilan M., Monish S., Dr. S. Siamala Devi. Accident detection system based on Internet of Things (IoT)- Smart helmet, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Kabilan M., Monish S., Dr. S. Siamala Devi (2019). Accident detection system based on Internet of Things (IoT)- Smart helmet. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.
MLA
Kabilan M., Monish S., Dr. S. Siamala Devi. "Accident detection system based on Internet of Things (IoT)- Smart helmet." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.
Kabilan M., Monish S., Dr. S. Siamala Devi. Accident detection system based on Internet of Things (IoT)- Smart helmet, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Kabilan M., Monish S., Dr. S. Siamala Devi (2019). Accident detection system based on Internet of Things (IoT)- Smart helmet. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.
MLA
Kabilan M., Monish S., Dr. S. Siamala Devi. "Accident detection system based on Internet of Things (IoT)- Smart helmet." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.
Abstract
The objective of our smart helmet is to provide the means for detecting and reporting accidents. The working of this smart helmet is very simple; vibration sensors are placed in different places of the helmet where the probability of hitting is more, which are connected to the microcontroller board. When the rider met with an accident and the helmet hits the ground, these sensors sense and gives to the microcontroller board, then controller extracts GPS location using the GPS module that is interfaced to it. When the data exceeds the minimum stress limit then the GSM module automatically sends a message to the registered emergency contacts and the link through which the location and the speed of the victim will be displayed in the mobile application and in the web application.