Flexible automation of quality inspection in parts assembly using CNN-based machine learning

Masoud Shaloo; Gábor Princz; Roman Hörbe; Selim Erol

doi:10.1016/j.procs.2024.02.108

Flexible automation of quality inspection in parts assembly using CNN-based machine learning

Institute of Industrial Engineering and Management

University of Applied Sciences Wiener Neustadt

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Pages (from-to)	2921-2932
Number of pages	12
Journal	Procedia Computer Science
Volume	232
DOIs	https://doi.org/10.1016/j.procs.2024.02.108
Publication status	Published - 1 Jan 2024
Event	5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023 - Lisbon, Portugal Duration: 22 Nov 2023 → 24 Nov 2023

Keywords

Artificial intelligence
Automated assembly line
Industry 4.0
Quality control
Yolov8

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10.1016/j.procs.2024.02.108

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title = "Flexible automation of quality inspection in parts assembly using CNN-based machine learning",

keywords = "Artificial intelligence, Automated assembly line, Industry 4.0, Quality control, Yolov8",

author = "Masoud Shaloo and G{\'a}bor Princz and Roman H{\"o}rbe and Selim Erol",

note = "Publisher Copyright: {\textcopyright} 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0); 5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023 ; Conference date: 22-11-2023 Through 24-11-2023",

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doi = "10.1016/j.procs.2024.02.108",

language = "English",

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T1 - Flexible automation of quality inspection in parts assembly using CNN-based machine learning

AU - Shaloo, Masoud

AU - Princz, Gábor

AU - Hörbe, Roman

AU - Erol, Selim

PY - 2024/1/1

Y1 - 2024/1/1

KW - Artificial intelligence

KW - Automated assembly line

KW - Industry 4.0

KW - Quality control

KW - Yolov8

UR - https://www.scopus.com/pages/publications/85189828732

U2 - 10.1016/j.procs.2024.02.108

DO - 10.1016/j.procs.2024.02.108

M3 - Conference article

AN - SCOPUS:85189828732

SN - 1877-0509

VL - 232

SP - 2921

EP - 2932

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023

Y2 - 22 November 2023 through 24 November 2023

ER -

Flexible automation of quality inspection in parts assembly using CNN-based machine learning

Keywords

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