AI-Based Quality Control of Wood Surfaces with Autonomous Material Handling

The theory and applications of Smart Factories and Industry 4.0 are increasing the entry into the industry. It is common in industry to start converting exclusive parts, of their production, into this new paradigm rather than converting whole production lines all at once. In Europe and Sweden, recen...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Mikael Ericsson, Dahniel Johansson, David Stjern
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Industry 4.0 IIoT smart factory flexible automation AI AMR Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/a036403d8ac142e59860dc1c30d40acd
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:a036403d8ac142e59860dc1c30d40acd
record_format	dspace
spelling	oai:doaj.org-article:a036403d8ac142e59860dc1c30d40acd2021-11-11T15:03:03ZAI-Based Quality Control of Wood Surfaces with Autonomous Material Handling10.3390/app112199652076-3417https://doaj.org/article/a036403d8ac142e59860dc1c30d40acd2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9965https://doaj.org/toc/2076-3417The theory and applications of Smart Factories and Industry 4.0 are increasing the entry into the industry. It is common in industry to start converting exclusive parts, of their production, into this new paradigm rather than converting whole production lines all at once. In Europe and Sweden, recent political decisions are taken to reach the target of greenhouse gas emission reduction. One possible solution is to replace concrete in buildings with Cross Laminated Timber. In the last years, equipment and software that have been custom made for a certain task, are now cheaper and can be adapted to fit more processes than earlier possible. This in combination, with lessons learned from the automotive industry, makes it possible to take the necessary steps and start redesigning and building tomorrows automated and flexible production systems in the wood industry. This paper presents a proof of concept of an automated inspection system, for wood surfaces, where concepts found in Industry 4.0, such as industrial Internet of things (IIoT), smart factory, flexible automation, artificial intelligence (AI), and cyber physical systems, are utilized. The inspection system encompasses, among other things, of the shelf software and hardware, open source software, and standardized, modular, and mobile process modules. The design of the system is conducted with future expansion in mind, where new parts and functions can be added as well as removed.Mikael EricssonDahniel JohanssonDavid StjernMDPI AGarticleIndustry 4.0IIoTsmart factoryflexible automationAIAMRTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9965, p 9965 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Industry 4.0 IIoT smart factory flexible automation AI AMR Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	Industry 4.0 IIoT smart factory flexible automation AI AMR Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Mikael Ericsson Dahniel Johansson David Stjern AI-Based Quality Control of Wood Surfaces with Autonomous Material Handling
description	The theory and applications of Smart Factories and Industry 4.0 are increasing the entry into the industry. It is common in industry to start converting exclusive parts, of their production, into this new paradigm rather than converting whole production lines all at once. In Europe and Sweden, recent political decisions are taken to reach the target of greenhouse gas emission reduction. One possible solution is to replace concrete in buildings with Cross Laminated Timber. In the last years, equipment and software that have been custom made for a certain task, are now cheaper and can be adapted to fit more processes than earlier possible. This in combination, with lessons learned from the automotive industry, makes it possible to take the necessary steps and start redesigning and building tomorrows automated and flexible production systems in the wood industry. This paper presents a proof of concept of an automated inspection system, for wood surfaces, where concepts found in Industry 4.0, such as industrial Internet of things (IIoT), smart factory, flexible automation, artificial intelligence (AI), and cyber physical systems, are utilized. The inspection system encompasses, among other things, of the shelf software and hardware, open source software, and standardized, modular, and mobile process modules. The design of the system is conducted with future expansion in mind, where new parts and functions can be added as well as removed.
format	article
author	Mikael Ericsson Dahniel Johansson David Stjern
author_facet	Mikael Ericsson Dahniel Johansson David Stjern
author_sort	Mikael Ericsson
title	AI-Based Quality Control of Wood Surfaces with Autonomous Material Handling
title_short	AI-Based Quality Control of Wood Surfaces with Autonomous Material Handling
title_full	AI-Based Quality Control of Wood Surfaces with Autonomous Material Handling
title_fullStr	AI-Based Quality Control of Wood Surfaces with Autonomous Material Handling
title_full_unstemmed	AI-Based Quality Control of Wood Surfaces with Autonomous Material Handling
title_sort	ai-based quality control of wood surfaces with autonomous material handling
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a036403d8ac142e59860dc1c30d40acd
work_keys_str_mv	AT mikaelericsson aibasedqualitycontrolofwoodsurfaceswithautonomousmaterialhandling AT dahnieljohansson aibasedqualitycontrolofwoodsurfaceswithautonomousmaterialhandling AT davidstjern aibasedqualitycontrolofwoodsurfaceswithautonomousmaterialhandling
_version_	1718437338993917952

AI-Based Quality Control of Wood Surfaces with Autonomous Material Handling

Ejemplares similares