A Real Time Implementation of an IOT based Vehicle Health Monitoring System
Hirakjyoti Sarma1, Dimpal Huzuri2, Manoj Kumar Deka3

1Dr. Hirakjyoti Sarma* , Gauhati University Institute of Science and Technology, Gauhati University, Guwahati, (Assam), India.
2Dimpal Huzuri, Department of Information Technology, Gauhati University, Guwahati, (Assam), India. 
3Dr. Manoj Kumar Deka, Department of Computer Science and Technology, Bodoland University, Kokrajhar, (Assam), India.
Manuscript received on July 29, 2021. | Revised Manuscript received on September 15, 2021. | Manuscript published on September 30, 2021. | PP: 140-143 | Volume-10 Issue-3, September 2021. | Retrieval Number: 100.1/ijrte.C63380910321 | DOI: 10.35940/ijrte.C6338.0910321
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper approaches an IoT based vehicle health monitoring system that is embedded for detecting the condition of a vehicle by monitoring the internal parameters such as heating rate, engine oil level and status of the CO of the vehicle. It is a real time vehicle health monitoring system is designed and developed to detect and identify the actuator and sensor faults created by automatically or manually by the user of the vehicle. Actually, Vehicles need repair after a certain interval of time and if are not repaired at fixed intervals, it can lead to loss of life of the persons travelling on it and there are many key issues which can affect the vehicle. So, the primary objective of this system is developing an IoT based embedded system that can detect the internal condition of a vehicle by evaluating the various parameters that are used to examine in the vehicle’s current health condition. In fact, this is a real time evaluation system that can be used for rapid condition screening. As a result, it provides all reliable information about the vehicle conditions. This IoT based system claims that it can detect and identify actuator and sensor faults with almost minimal detection latency even after lots of disturbances and uncertainties.
Keywords: Sensor, IoT, Vehicle Health Monitoring, Real Time, Actuator Faults.