About: Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts
Creator	Kumar, Manish Anand, Sam Deshpande, Aditya Jakkali, Vinay Kumar Telikicherla, Anil »more»
source	ArXiv; Elsevier
abstract	Abstract Digitization has led to smart, connected technologies be an integral part of businesses, governments and communities. For manufacturing digitization, there has been active research and development with a focus on Cloud Manufacturing (CM) and the Industrial Internet of Things (IIoT). This work presents a computer vision toolkit (CV Toolkit) for non-invasive digitization of the factory floor in line with Industry 4.0 requirements for factory data collection. Currently, technical challenges persist towards digitization of legacy systems due to the limitation for changes in their design and sensors. This novel toolkit is developed to facilitate easy integration of legacy production machinery and factory floor artifacts with the digital and smart manufacturing environment with no requirement of any physical changes in the machines. The system developed is modular, and allows real-time monitoring of production machinery. The modularity aspect allows the incorporation of new software applications in the current framework of CV Toolkit. To allow connectivity of this toolkit with manufacturing floors in a simple, deployable and cost-effective manner, the toolkit is integrated with a known manufacturing data standard, MTConnect, to “translate” the digital inputs into data streams that can be read by commercial status tracking and reporting software solutions. The proposed toolkit is demonstrated using a mock-panel environment developed in house at the University of Cincinnati to highlight its usability.
has issue date	2020-12-31(xsd:dateTime)
bibo:doi	10.1016/j.promfg.2020.05.141
has license	els-covid
sha1sum (hex)	08524e21c2a77a5d7e353659bc5f96153d39fc3d
schema:url	https://doi.org/10.1016/j.promfg.2020.05.141
resource representing a document's title	Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts
schema:publication	Procedia Manufacturing
resource representing a document's body	covid:08524e21c2a77a5d7e353659bc5f96153d39fc3d#body_text
is schema:about of	named entity 'digitization' named entity 'data streams' named entity 'simple' named entity 'house' named entity 'CHALLENGES' »more»

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