Development of marker-based augmented reality system for object detection in an optimum latency time

Suman Bhakar and Devershi Pallavi Bhatt

International Journal of Product Development, 2019, vol. 23, issue 2/3, 185-200

Abstract: Augmented reality is an emerging technique to monitor real-time environment to take a decision based on the collected data. With the advancement in the concept of augmented reality and rapid development of robots, there is a need to develop a system or a method to reduce the latency in the most challenging conditions. Although, now some applications are using marker less augmented reality technique due to complications in object detection and tracking in Boston dynamics (robotics) and real-time application we relied on fiducial marker based system. This paper mainly proposes an AR system which explains a guideline to detect the fiducial marker by an object (unidirectional movement) at minimum latency time. In this experiment, fiducial marker detection and position orientation with respect to the camera has been processed by 'Aforge.NET Framework' in combination with C# language and pose estimation. We designed machine marker detection algorithm and mathematics equation which compute the latency time in different challenging conditions lux, distance frame per second of camera in an optimum latency time.

Keywords: fiducial marker; POSIT; object detection; latency time; camera; augmented reality; lux; distance. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=99211 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpdev:v:23:y:2019:i:2/3:p:185-200

Access Statistics for this article

More articles in International Journal of Product Development from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().