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.

Leccisi, M., Schirripa Spagnolo, G., Leccese, F. (2026). Dust detector for museum environment based on Raspberry Pi: A first improvement. ACTA IMEKO, 15(3), 1-7 [10.21014/actaimeko.v15i3.2312].

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

Leccisi M.
Writing – Original Draft Preparation
;
Schirripa Spagnolo G.
Validation
;
Leccese F.
Writing – Review & Editing
2026-01-01

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.
2026
Leccisi, M., Schirripa Spagnolo, G., Leccese, F. (2026). Dust detector for museum environment based on Raspberry Pi: A first improvement. ACTA IMEKO, 15(3), 1-7 [10.21014/actaimeko.v15i3.2312].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/559577
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