Using a Raspberry Pi, we have created a low-cost, easily implementable, scalable and highly integrable system, suitable for real and extensive applications for dust detection within museum environments. In order to catch the dust, the Raspberry Pi uses a high-definition camera module on which dust settles. After the acquisition of the image, the platform is able to recognize and to cluster the single particles using a custom-developed image recognition software that runs on the Raspberry. The first analysis and consequent results are promising.
Leccisi, M., Schirripa Spagnolo, G., Leccese, F. (2025). Dust Detector for Museum Environment Based on Raspberry Pi. In IMEKO TC26 International Conference on Metrology for Archaeology and Cultural Heritage 2025 (pp.591-596). Budapest : International Measurement Confederation (IMEKO) [10.21014/tc26-2025.111].
Dust Detector for Museum Environment Based on Raspberry Pi
Leccisi M.Writing – Original Draft Preparation
;Schirripa Spagnolo G.Data Curation
;Leccese F.
Conceptualization
2025-01-01
Abstract
Using a Raspberry Pi, we have created a low-cost, easily implementable, scalable and highly integrable system, suitable for real and extensive applications for dust detection within museum environments. In order to catch the dust, the Raspberry Pi uses a high-definition camera module on which dust settles. After the acquisition of the image, the platform is able to recognize and to cluster the single particles using a custom-developed image recognition software that runs on the Raspberry. The first analysis and consequent results are promising.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
