Edge AI for Industrial Visual Inspection: YOLOv8-Based Visual Conformity Detection Using Raspberry Pi

Marcelo T. Okano, William Aparecido Celestino Lopes, Sergio Miele Ruggero, Oduvaldo Vendrametto, João Carlos Lopes Fernandes

Open source

DOI: 10.3390/a18080510
Published: 2025-08-14
Container: Algorithms
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/a18080510,
  title = {Edge AI for Industrial Visual Inspection: YOLOv8-Based Visual Conformity Detection Using Raspberry Pi},
  author = {Marcelo T. Okano and William Aparecido Celestino Lopes and Sergio Miele Ruggero and Oduvaldo Vendrametto and João Carlos Lopes Fernandes},
  year = {2025},
  journal = {Algorithms},
  doi = {10.3390/a18080510},
  url = {https://doi.org/10.3390/a18080510}
}

RIS

TY  - JOUR
TI  - Edge AI for Industrial Visual Inspection: YOLOv8-Based Visual Conformity Detection Using Raspberry Pi
AU  - Marcelo T. Okano
AU  - William Aparecido Celestino Lopes
AU  - Sergio Miele Ruggero
AU  - Oduvaldo Vendrametto
AU  - João Carlos Lopes Fernandes
PY  - 2025
JO  - Algorithms
DO  - 10.3390/a18080510
UR  - https://doi.org/10.3390/a18080510
ER  -

APA

Okano, M. T., Lopes, W. A. C., Ruggero, S. M., Vendrametto, O., & Fernandes, J. C. L. (2025). Edge AI for Industrial Visual Inspection: YOLOv8-Based Visual Conformity Detection Using Raspberry Pi. Algorithms. https://doi.org/10.3390/a18080510

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crossref · retrieved 2026-09-24T23:08:00.970Z