Dust detector for museum environment based on Raspberry Pi: A first improvement

Authors

  • Mariagrazia Leccisi Science Department, Università degli Studi Roma Tre, via della Vasca Navale n.84, 00146 Rome, Italy https://orcid.org/0000-0003-2775-637X
  • Giuseppe Schirripa Spagnolo Dipartimento di Matematica e Fisica, Università degli Studi “Roma Tre”, via della Vasca Navale n.84. Rome, 00146, Rome, Italy https://orcid.org/0000-0003-0108-1335
  • Fabio Leccese Universitá degli Studi "Roma Tre"

DOI:

https://doi.org/10.21014/actaimeko.v15i3.2312

Keywords:

LED, dust, museum, cultural heritage, measurement

Abstract

This work shows the development of a low-cost, easy-to-install, scalable, and highly integrable system, suitable for real and extensive applications for dust detection in museum environments. To detect particles, the Raspberry Pi uses a high-definition camera module on which dust naturally settles. After the acquisition of the image, the platform elaborates directly the images, recognizing and clustering the particles using a self-made recognition software.

Author Biography

Fabio Leccese, Universitá degli Studi "Roma Tre"

Science Department - Ph.D. Assistant Professor

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Published

2026-09-21

Issue

Vol. 15 No. 3 (2026)

Section

Research Papers

License

Copyright (c) 2026 Mariagrazia Leccisi, Giuseppe Schirripa Spagnolo, Fabio Leccese

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