Integration of artificial intelligence and video surveillance technology to monitor construction equipment

This article discusses the integration of artificial intelligence (AI) and video surveillance technology for construction equipment management. The use of artificial intelligence algorithms and video surveillance systems can improve equipment management by increasing the efficiency of video surveill...

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Bibliographic Details
Main Authors: Garyaev Andrei, Garyaev Nikolay
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Subjects:
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/47/e3sconf_form2023_04002.pdf
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author Garyaev Andrei
Garyaev Nikolay
author_facet Garyaev Andrei
Garyaev Nikolay
author_sort Garyaev Andrei
collection DOAJ
description This article discusses the integration of artificial intelligence (AI) and video surveillance technology for construction equipment management. The use of artificial intelligence algorithms and video surveillance systems can improve equipment management by increasing the efficiency of video surveillance on construction sites, improving the safety and efficiency of construction equipment. The article discusses the potential benefits of using AI to analyze data from video feeds, including the ability to identify anomalies in equipment usage patterns, predict maintenance needs, and optimize equipment utilization. The article provides an example of the practical implementation and use of AI and video surveillance technologies in the construction industry today, highlighting their potential.
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spelling doaj.art-0cd8a2aebc5544a191d8eab3478253912023-08-10T13:16:31ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014100400210.1051/e3sconf/202341004002e3sconf_form2023_04002Integration of artificial intelligence and video surveillance technology to monitor construction equipmentGaryaev Andrei0Garyaev Nikolay1Moscow State University of Civil EngineeringMoscow State University of Civil EngineeringThis article discusses the integration of artificial intelligence (AI) and video surveillance technology for construction equipment management. The use of artificial intelligence algorithms and video surveillance systems can improve equipment management by increasing the efficiency of video surveillance on construction sites, improving the safety and efficiency of construction equipment. The article discusses the potential benefits of using AI to analyze data from video feeds, including the ability to identify anomalies in equipment usage patterns, predict maintenance needs, and optimize equipment utilization. The article provides an example of the practical implementation and use of AI and video surveillance technologies in the construction industry today, highlighting their potential.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/47/e3sconf_form2023_04002.pdfartificial intelligenceconstruction machineryconstruction siteneural networksvideo surveillancemachine learning
spellingShingle Garyaev Andrei
Garyaev Nikolay
Integration of artificial intelligence and video surveillance technology to monitor construction equipment
E3S Web of Conferences
artificial intelligence
construction machinery
construction site
neural networks
video surveillance
machine learning
title Integration of artificial intelligence and video surveillance technology to monitor construction equipment
title_full Integration of artificial intelligence and video surveillance technology to monitor construction equipment
title_fullStr Integration of artificial intelligence and video surveillance technology to monitor construction equipment
title_full_unstemmed Integration of artificial intelligence and video surveillance technology to monitor construction equipment
title_short Integration of artificial intelligence and video surveillance technology to monitor construction equipment
title_sort integration of artificial intelligence and video surveillance technology to monitor construction equipment
topic artificial intelligence
construction machinery
construction site
neural networks
video surveillance
machine learning
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/47/e3sconf_form2023_04002.pdf
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AT garyaevnikolay integrationofartificialintelligenceandvideosurveillancetechnologytomonitorconstructionequipment