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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
