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Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts | | Aditya M. Deshpande
; Anil Kumar Telikicherla
; Vinay Jakkali
; David A. Wickelhaus
; Manish Kumar
; Sam Anand
; | | Date: |
12 May 2020 | | 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. 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. | | Source: | arXiv, 2005.6037 | | Services: | Forum | Review | PDF | Favorites | |
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