Adil Saleem

Academic

Career

Verbatim text

Telematics based Fleet Monitoring & Diagnostics 
This project aims to design and implement a fleet management system consisting of two vehicles. 
This system locates vehicles in real-time, estimates the fuel consumption, and diagnoses ignition 
faults in vehicles for the fleet operator (transporter). OBD2 (On-board diagnostics) scanner is a device which communicates with the diagnostic system of the vehicle using a connector. The scanner reads the data from ECU (electronic control unit) to find out what malfunction the vehicle is facing. The data read from the vehicle is sent to AWS IoT Core which communicates with the web application. 
Vehicle diagnostics has become an essential issue in the transport industry as fraud with the fleet operators have increased. Drivers tend to lie to their owners about the fuel and save a lot of fuel and in return charge them with a bigger amount. Additionally, the mechanics are also involved in fraud such as if there is a minor issue with the vehicle, they wrongly charge the owner for other non-existent issues. 
Implementing our system will allow the fleet operators to monitor their vehicles remotely which will help them save their fuel cost and maintenance charges. 
 
 
 
 
Technology Used: 
LPC 1768, SIM 808, CAN Transceiver IC, mbed OS VueJS,  
Google Firebase, AWS IoT Core 
Supervisor Name: 
Engr. Azhar Rauf 
Group Members:   
Adil Saleem (17I-0456) 
Talha Siddique (17I-0483) 
 
 
     Syed Muhammad Aarim (17I-0548)

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