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Geometrical Pattern Recognition for Rearranging Chairs

Authors: Priyam Sharma; Shrikant Honade;

Geometrical Pattern Recognition for Rearranging Chairs

Abstract

Currently, furniture is used by every person and all working people in their lives. In office hours, it is necessary for the people to keep the furniture organized after the completion of meeting or event. Now a day’s every student, every employee and all the working people having rush in their life. So they forget to arrange their furniture in working space which will create bad look for professional environment and also affect the psychology. The common thoughts now a day in educational institutions is that after every laboratory session is over, the students left the chair unarranged and the corresponding lab assistant’s need to arrange the chairs after session is over in order to keep laboratory ready for the upcoming sessions. For this situation, in this paper we proposed a robotic chair which move automatically and follow the tag. These tags are predefined and fixed at valve or table. Whenever program runs these chairs automatically goes to the tag nearby and will aligned at its original position.

Subjects by Vocabulary

Microsoft Academic Graph classification: Computer science business.industry Video tracking Pattern recognition (psychology) Pattern recognition Image processing Artificial intelligence business

ACM Computing Classification System: GeneralLiterature_MISCELLANEOUS

Keywords

Object Tracking, Robotic Lab, Self-Positioning Chair, Image processing, 2231-2307, 100.1/ijsce.B34640910220

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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download
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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views
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