AN IoT BASED SELF LOCKING SYSTEM FOR TWO WHEELERS FOR RIDERS WITHOUT HELMET

Authors

  • M.Pradeep, K.Karpaga Siva, Ayyappa Srinivasan M G St.Mother Theresa Engineerimg College, Thoothukudi, India

Keywords:

Artificial intelligence, self locking, Speedometer

Abstract

The  basic  idea of  the  work is AI based Helmet  Wearing system. In India, almost 200 million individuals drive by bikes consistently. We ordinarily see individuals riding bikes without head protector and this is a typical sight these days. Consistently, in excess of 100 bikers pass on from head injury in India. 'Safe Trekking' ads won't function as individuals are not worried about the outcomes they should confront. In our undertaking, a camera is to be set before the speedometer in a point to such an extent that it covers the rider's face. At the point when the rider turns on the vehicle, the control unit begins working, looks for the cap's picture by taking constant contribution from the camera. On the off chance that the camera observes that the rider isn't wearing cap, it conveys a message to the microchip to switch the vehicle off. This keeps the rider from head injury and it just so happens, demise. Also, in any event, when the rider is riding for quite a long time and when he will in general eliminate his protective cap, the vehicle switches off genuinely. Hence, this saves the rider from cerebrum injury. Protective cap save people from head wounds, and keeping from those head wounds save people from death.

Downloads

Published

-

How to Cite

M.Pradeep, K.Karpaga Siva, Ayyappa Srinivasan M G. (2023). AN IoT BASED SELF LOCKING SYSTEM FOR TWO WHEELERS FOR RIDERS WITHOUT HELMET. EPRA International Journal of Multidisciplinary Research (IJMR), 9(8), 255–257. Retrieved from http://eprajournals.net/index.php/IJMR/article/view/2610