Fuel Tanker Theft Prevention System using Internet of Things and Machine Learning

Abstract

Fuel is one of the most valuable commodities worldwide, and this has led to a manifold increase in fuel theft globally. Most of the fuel is stolen while in transport between industries. Detecting this theft becomes difficult due to the multiple logistic complexities involved. A secure system that prevents the fuel from being stolen from the tanker is proposed. The system involves continuously monitoring the fuel level in the storage tank of the tanker. When the fuel drops below a specified limit, an alert will be sent to the driver and the fuel agency. A security system based on password authentication acts as the first layer of security. A GPS module enables authorities to monitor the location of the truck through a mobile application. The novelty of the proposed system is IOT (Internet of Things) enabled security system which will ensure the communication between the sender and receiver parties and after confirmation, fuel would be dispensed. This system will help play an important role in the prevention of fuel theft.