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Erschienen in:
Optimizing Inspection Process Severity by Machine Learning Under Label Uncertainty Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Economic Implications of Innovative Visual Guidance System for Crane Cabins

verfasst von : Vesna Spasojevic Brkic, Nikola Dondur, Aleksandar Brkic, Martina Perisic

Erschienen in: Advances in Human Factors and Systems Interaction

Verlag: Springer International Publishing

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Abstract

This paper proposes innovation through implementation of a real-time computer-aided visual guidance system (VGS) which prevents crane accidents, caused by crane operator’s obstructed view, which can be the cause of collisions between load and obstacles and/or intrusions in the workspace. Proposed VGS allows predicting whether a dangerous event is going to occur and promptly alerts the crane-operator in order to let her/him taking corrective actions during the execution of crane-assisted shifting duties. VGS is equipped with interface which is designed to be simple in terms of the number of commands and easy to use in order to reduce the operators’ stress. Analyses of the economic feasibility of VGS application through cost-benefit framework follows. The payback period of invested funds for the purchase and installation of VGS is 1.5 years and installing and usage of VGS represents a very low risk investment.

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Vorheriges Kapitel Automatic Classification of Incidents in Coastal Zones
Nächstes Kapitel Principles for Human-Centered System Design in Industry 4.0 – A Systematic Literature Review
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Metadaten
Titel
Economic Implications of Innovative Visual Guidance System for Crane Cabins
verfasst von
Vesna Spasojevic Brkic
Nikola Dondur
Aleksandar Brkic
Martina Perisic
Copyright-Jahr
2020
Buch
Advances in Human Factors and Systems Interaction

Print ISBN: 978-3-030-51368-9

Electronic ISBN: 978-3-030-51369-6

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-51369-6_18