maiconn / tcc Goto Github PK

View Code? Open in Web Editor NEW

License: GNU General Public License v3.0

TypeScript 44.36% HTML 20.27% JavaScript 1.05% Python 27.46% Shell 0.93% Batchfile 1.67% SCSS 4.25%

tcc's Introduction

Application For Real-Time Vehicle Monitoring

README | LEIA-ME

What is?

An application that covers:

A embedded software on a Raspberry Pi Zero W board to collect the geographic position, camera images and OBD port data from a car
A mobile application to capture the information of this embedded software

Main Features

Vehicle images in real time
Geographic position
OBD2 port data:
- Sensors (All)
- Diagnostic Trouble Code (DTCs)
Inform status of execution of the embedded server by means of LEDs
Notify the user via text messages and email in case of DTC failures

Origin

Completion of the Computer Science course of the Universidade Regional de Blumenau (FURB), with the orientation of prof. Miguel Alexandre Wisintainer.

Abstract

The application has been developed to inform possible mechanical failure or theft in the vehicle. It has as main objectives, to visualize the current location of the car, to obtain images and to make available the data of its On-Board Diagnostic (OBD) port. For that, a software embedded in the Raspberry Pi Zero W board was developed using as main components a Global Positioning System (GPS) module, an ELM327 Bluetooth adapter and a camera. In order to capture the sensors and vehicle error codes, the python-obd library with the Bluetooth ELM327 adapter was used. E-mail notifications and text messages are also sent in the event of car failure. Embedded software data was made available in a mobile application that used the Ionic library for its construction.