Micro Activities Recognition in Uncontrolled Environments

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
Main Authors: Ali Abbas, Michael Haslgrübler, Abdul Mannan Dogar, Alois Ferscha
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Applied Sciences
Subjects:
assembly process
activity recognition
deep learning
neural networks
uncontrolled real time environment
Online Access:https://www.mdpi.com/2076-3417/11/21/10327

Internet

https://www.mdpi.com/2076-3417/11/21/10327

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