IoT and Sensor Based Vehicle Diagnosis System for Improved Road Safety

Abstract

This system is proposed to implement Diagnosis System for Improved safety through Internet of Things (IOT). In this system some of the important parameters of the vehicle such as coolant liquid level, alcohol intoxication, upper and dipper position of light and advance seat belt indicator of the driver will be monitored. Initially the data from these parameters is monitored closely and is been stored by the help of local storing methods. Then it is transferred to the central server to maintain a record directory of all the past events. If by any chance any of these measured parameters or other parameters present on OBD (on board diagnostics) exceeds its limitations, then a visual as well as audible indicator is turned active to warn the driver about such scenarios. In such a way this propped system provides information on not only key safety parameters but also on the driving pattern, faults and reliability of the vehicle.