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INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

A Step Towards Excellence
Published by : Advanced Scientific Research
ISSN
0975-2366
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IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

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Development of an Augmented Fault Identification System for Autonomous Guided Vehicles

Author: GANESHWARA SHANMUGAM, SHARANA DHARSHIKGAN, DR SIVAKUMAR VENGUSAMY
Abstract: This document discusses on the development of a fault identification system that is to be used for the Autonomous Guided Vehicles (AGV) in warehouses. The system is incorporated into an android mobile application. The application not only identifies the faults within a given AGV, but also helps manage the AGVs, users and pre-defined faults registered to the system. QR codes are generated specific to each AGV registered to the system to be able to distinguish between different AGVs.
Keyword: Android Mobile Application, AGV, QR code
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