Home // VISUAL 2019, The Fourth International Conference on Applications and Systems of Visual Paradigms // View article
Authors:
Tshepo Godfrey Kukuni
Ben Kotze
Keywords: industrial augmented reality; image processing; virtual reality; mixed reality; augmented reality; RFID; QR codes; manufacturing plants; SCADA
Abstract:
The introduction of 3D computer graphics has led to an increase in processing capacity of the computational units monumentally along with speed, memory and transmission bandwidth. Augmented Reality (AR) has modelled remarkable progress towards real-world consumer applications. In a controlled network, identification and detection of a component in the process are difficult without the knowledge and background in the design and implementation process. Thus, the concept of device identification with the aid of AR utilising identifiers such as machine vision other than QR codes or RFID needs to be investigated. This paper proposes an optimal and efficient model utilising machine vision to detect and identify devices (robotic arms and motors) based on their positions within the manufacturing plant with the aid of augmented reality application for proffering the device details.
Pages: 13 to 18
Copyright: Copyright (c) IARIA, 2019
Publication date: June 30, 2019
Published in: conference
ISSN: 2519-8645
ISBN: 978-1-61208-724-5
Location: Rome, Italy
Dates: from June 30, 2019 to July 4, 2019