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Volume 14
Issue 17
10.3390/electronics14173361
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Machine Vision in Human-Centric Manufacturing: A Review from the Perspective of the Frozen Dough Industry

by
Vasiliki Balaska
1,*,†,
Anestis Tserkezis
1,*,†,
Fotios Konstantinidis
2,
Vasileios Sevetlidis
3,
Symeon Symeonidis
1,
Theoklitos Karakatsanis
1 and
Antonios Gasteratos
1
1
Department of Production and Management Engineering, Democritus University of Thrace, 67100 Xanthi, Greece
2
Institute of Communication and Computer Systems (ICCS), 15773 Athens, Greece
3
Athena Research Center, 15125 Maroussi, Greece
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Electronics 2025, 14(17), 3361; https://doi.org/10.3390/electronics14173361
Submission received: 21 July 2025 / Revised: 19 August 2025 / Accepted: 21 August 2025 / Published: 24 August 2025
(This article belongs to the Special Issue Human-Robot Interaction and Collaboration for Effective Solutions to Real-World Problems)
Versions Notes

Abstract

Machine vision technologies play a critical role in the advancement of modern human-centric manufacturing systems. This study investigates their practical applications in improving both safety and productivity within industrial environments. Particular attention is given to areas such as quality assurance, worker protection, and process optimization, illustrating how intelligent visual inspection systems and real-time data analysis contribute to increased operational efficiency and higher safety standards. The research methodology combines an in-depth analysis of industrial case studies, including one from the frozen dough industry, with a systematic review of the current literature on machine vision technologies in manufacturing. The findings highlight the potential of such systems to reduce human error, maintain consistent product quality, minimize material waste, and promote safer and more adaptable work environments. This study offers valuable insights into the integration of advanced visual technologies within human-centered production environments, while also addressing key challenges and future opportunities for innovation and technological evolution.
Keywords: machine vision; human-centric manufacturing; frozen dough factories; safety enhancement; process optimization; business intelligence and artificial intelligence machine vision; human-centric manufacturing; frozen dough factories; safety enhancement; process optimization; business intelligence and artificial intelligence

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MDPI and ACS Style

Balaska, V.; Tserkezis, A.; Konstantinidis, F.; Sevetlidis, V.; Symeonidis, S.; Karakatsanis, T.; Gasteratos, A. Machine Vision in Human-Centric Manufacturing: A Review from the Perspective of the Frozen Dough Industry. Electronics 2025, 14, 3361. https://doi.org/10.3390/electronics14173361

AMA Style

Balaska V, Tserkezis A, Konstantinidis F, Sevetlidis V, Symeonidis S, Karakatsanis T, Gasteratos A. Machine Vision in Human-Centric Manufacturing: A Review from the Perspective of the Frozen Dough Industry. Electronics. 2025; 14(17):3361. https://doi.org/10.3390/electronics14173361

Chicago/Turabian Style

Balaska, Vasiliki, Anestis Tserkezis, Fotios Konstantinidis, Vasileios Sevetlidis, Symeon Symeonidis, Theoklitos Karakatsanis, and Antonios Gasteratos. 2025. "Machine Vision in Human-Centric Manufacturing: A Review from the Perspective of the Frozen Dough Industry" Electronics 14, no. 17: 3361. https://doi.org/10.3390/electronics14173361

APA Style

Balaska, V., Tserkezis, A., Konstantinidis, F., Sevetlidis, V., Symeonidis, S., Karakatsanis, T., & Gasteratos, A. (2025). Machine Vision in Human-Centric Manufacturing: A Review from the Perspective of the Frozen Dough Industry. Electronics, 14(17), 3361. https://doi.org/10.3390/electronics14173361

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