IoT Based Vehicle Speed Sensing & Smoke Detecting System

This article emphases an advanced method for controlling the pollution of vehicles through sensor integration process. All sensor nodes will be connected to a control centre and it will be monitored using Online Monitoring System (OMS) with the help of an Improved Smoke Detection Algorithm (ISDA). The purpose of using ISDA is to monitor the vehicles which are located in different areas under different temperatures where, the ISDA divides the regions into circles. The data obtained in OMS will be aggregated and it will be plotted in MATLAB for better understanding. To test the efficiency of the projected method three test cases which include control of energy, minimization of range and cot have been performed. It is observed that in all three cases ISDA proves to be more efficient in terms of energy consumption, cost and distance when compared with existing methods System alerts everyone if the pollution has increased above a certain level. in today's world road and transport has become an integral part of every human being. The present transport system has minimized the distances but it has on the other hand increased the life peril. The focal idea of this paper is very functional to implement as road safety measure. This paper proposes a novel system where it is able to automatically control the speed of the vehicle by detecting the speed signs labels from speed sign boards, which are laid on the road side and take necessary steps to take it to the knowledge of the driver by sending a caution notification. When the driver does not speed down even after the sign of caution, details of the vehicle are notified to the authorities (traffic officials) and the speed of the car is reduced to threshold speed limit as on the speed label. This paper proposes an innovative approach by using two wide scoped fields and relevant knowledge to its fullest. a real time image processing software MATLAB identifies speed sign label, ARDUINO UNO to send that data to cloud and GPRS module to send location of the vehicle. The sent data gets analysed by PHP in the cloud and necessary steps are executed according to the results of the analysis