UGC Approved Journal no 63975(19)

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

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2206856


Registration ID:
405020

Page Number

i464-i471

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Title

ARTIFICIAL INTELLIGENCE IN THE CONSTRUCTION INDUSTRY- OBSTACLE DETECTION ON CONSTRUCTION SITE USING IR SENSOR

Abstract

Complete and reliable sensing system for obstacle detection can benefit a lot from the combined use of multiple types of sensors, especially from the active-passive combination. Any one particular type of technology may have difficulties to meet all necessary requirements in order to detect an obstacle in various lighting or weather conditions. The clutter background and complex moving patterns of all objects which may appear on a road scene demand sophisticated processing of sensor inputs. To study the present status of use of Artificial Intelligence (AI) in the Construction Industry & Construction Management in the field of Obstacle detection on construction site for the workers working on multistorey buildings and for the barricading protected area.

Key Words

Artificial Intelligence,Obstacle Detection,IR Sensor,Construction Site.

Cite This Article

"ARTIFICIAL INTELLIGENCE IN THE CONSTRUCTION INDUSTRY- OBSTACLE DETECTION ON CONSTRUCTION SITE USING IR SENSOR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.i464-i471, June-2022, Available :http://www.jetir.org/papers/JETIR2206856.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

"ARTIFICIAL INTELLIGENCE IN THE CONSTRUCTION INDUSTRY- OBSTACLE DETECTION ON CONSTRUCTION SITE USING IR SENSOR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppi464-i471, June-2022, Available at : http://www.jetir.org/papers/JETIR2206856.pdf

Publication Details

Published Paper ID: JETIR2206856
Registration ID: 405020
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: i464-i471
Country: Palghar, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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