IOT Based Fuel Monitoring For Vehicles

April 2018
Vol-4, Issue-3
Paper ID: 8363
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Flow Sensor ESP8266 IOT Wi-Fi chip
Abstract
Nowadays, true record of fuel stuffed and gas consumption in vehicles is no longer maintained. It effects in a economic loss. To avoid this loss, monitoring and monitoring machine is carried out via an IOT primarily based Fuel Monitoring in vehicle. The fuel monitoring system is built on ESP8266 Wi-Fi chip. This machine makes use of Hall Effect Sensor to calculate the statistics about tank’s modern gas degree and also the quantity of presently inserted fuel. It provides information to the ESP8266 Wi-Fi chip. ESP8266 chip is a hardware which connect waft sensor and server, then server send that statistics on users android app. On the unavailability of device it shops data into memory. This system is primarily based on IOT science which gives protection to user identity to authenticate get entry to and perceive impersonated units or fake gadgets in the network. The reason of the IOT is to make possible things to connect at any time, in any place, with whatever and all people ideally the use of Network and service.

Author Information

# Name Institute / Affiliation
1 Pratiksha Thorat NBN Sinhgad School of Engineering, Pune.
2 Pranali Survase NBN Sinhgad School of Engineering, Pune.
3 Akshada Kawane NBN Sinhgad School of Engineering, Pune.
4 Shweta Kompa NBN Sinhgad School of Engineering, Pune.

How to Cite

Use the following formats to cite this article in your research.

APA Style
Thorat, Pratiksha, Survase, Pranali, Kawane, Akshada, & Kompa, Shweta (2018). IOT Based Fuel Monitoring For Vehicles. International Journal of Advance Research and Innovative Ideas In Education, 4(3), 208-212.
MLA Style
Thorat, Pratiksha, et al. "IOT Based Fuel Monitoring For Vehicles." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 3, 2018, pp. 208-212.
IEEE Style
Pratiksha Thorat, Pranali Survase, Akshada Kawane, and Shweta Kompa, "IOT Based Fuel Monitoring For Vehicles," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 3, pp. 208-212, 2018.
Vancouver Style
Thorat Pratiksha, Survase Pranali, Kawane Akshada, Kompa Shweta. IOT Based Fuel Monitoring For Vehicles. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(3):208-212.
Harvard Style
Thorat, Pratiksha, Survase, Pranali, Kawane, Akshada, & Kompa, Shweta (2018) 'IOT Based Fuel Monitoring For Vehicles', International Journal of Advance Research and Innovative Ideas In Education, 4(3), pp. 208-212.
Chicago Style
Thorat, Pratiksha, et al. "IOT Based Fuel Monitoring For Vehicles." International Journal of Advance Research and Innovative Ideas In Education 4, no. 3 (2018): 208-212.
Turabian Style
Thorat, Pratiksha, et al. "IOT Based Fuel Monitoring For Vehicles." International Journal of Advance Research and Innovative Ideas In Education 4, no. 3 (2018): 208-212.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable