Micro Activities Recognition in Uncontrolled Environments

Deep learning has proven to be very useful for the image understanding in efficient manners. Assembly of complex machines is very common in industries. The assembly of automated teller machines (ATM) is one of the examples. There exist deep learning models which monitor and control the assembly proc...

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Bibliographic Details

Published in:	Applied sciences Vol. 11; no. 21; p. 10327
Main Authors:	Abbas, Ali, Haslgrübler, Michael, Dogar, Abdul Mannan, Ferscha, Alois
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01-11-2021
Subjects:	Accuracy activity recognition Anomalies Artificial intelligence assembly process Automation Data collection Datasets Deep learning Lean manufacturing Neural networks Process controls uncontrolled real time environment Workers Workflow
Online Access:	Get full text
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