Open AccessAnti-Theft Fuel Level Detector with Vehicle Tracking
Author(s) -
Arvind Kumar,
S Vishnukanth,
Ajay Kumar,
V. Nandalal,
N. Sathishkumar
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1916/1/012217
Subject(s) - gsm , truck , global positioning system , software deployment , key (lock) , computer science , fleet management , event (particle physics) , vehicle tracking system , tracking system , wireless , real time computing , computer security , embedded system , automotive engineering , engineering , telecommunications , operating system , physics , filter (signal processing) , quantum mechanics , segmentation , artificial intelligence , computer vision
The appearance, deployment, as well as the evaluation of a computing device for the Fleet Management Solution including trucks that transport fuel are presented in this article. The key aim is to build a framework that can track the backlog instantaneously. The approach are imagined any road tankers that transport petrol transport End customers, such as service stations, get petrol in oil warehouses. However, as code, this technique is reliant on hardware. Shipment electronics, Diy on-board, Wireless communications, and Gp modules are all included. make up the hardware version 0.5. whereas LabView is used for data functions in PC code 0.5. This approach proposes the use of an Automatic Electronic System (AES) to replace manual fuel monitoring. This system tests fuel volume and sends the details to the owner’s cell phone as well as the owner’s device through the GSM network. It also offers a tool for identifying stealing or fraud incidents in the event of gasoline robbery or discharge. Furthermore, the device will monitor the activities every carrier transporting energy in order to determine the location of any incidents Which should have occurred.. Thanks to inadequate and easy-to-acquire electronic elements, this approach allows for automated backlog tracking and tracking at a lower cost. GSM, GPS, AES, and ARDUNIO are some of the terminology used in this article.