UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Unique Identifier

Published Paper ID:
JETIR2006570


Registration ID:
234863

Page Number

1675-1678

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Title

Automated Traction using Object Detection on Low End Systems

Abstract

There are many available embedded systems like (Raspberry pi) which are used to make IOT devices, Robots, etc . While such an application of this type of systems are to make autonomous system (Robot) which can travel without any human intervention to a specified destination. This are done using object detection and navigation algorithms. Object detection uses computer vision models like YOLO, Mobile net, etc, which provide a good performance on this type of system at the same time uses the memory of this systems to fullest, Hence the motive of this paper is to use this Object detection mechanisms effectively by using some extra sensors for autonomous traction. The autonomous traction uses specific modules to differentiate the type of area the system is in and navigate in collaboration with object detection.

Key Words

Computer Vision, Automated traction, Algorithms, Machine Learning

Cite This Article

"Automated Traction using Object Detection on Low End Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1675-1678, June 2020, Available :http://www.jetir.org/papers/JETIR2006570.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Automated Traction using Object Detection on Low End Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1675-1678, June 2020, Available at : http://www.jetir.org/papers/JETIR2006570.pdf

Publication Details

Published Paper ID: JETIR2006570
Registration ID: 234863
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 1675-1678
Country: Thane, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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