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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Project SAMPAY: A Sensor-Activated Machine for Cloth-Placing and Drying

Authors: Freddie O. Orperia,; Maribel S. Abalos,; Crestian A. Agustin,; Frederick Gallo,; Arnold L. Alburo,; Rafael S. Ramos,;

Project SAMPAY: A Sensor-Activated Machine for Cloth-Placing and Drying

Abstract

"Project SAMPAY: A Sensor-Activated Machine for Cloth-Placing and Drying" tackles the problems with conventional clothing drying techniques, which either depend on the weather or use a lot of energy, like electric dryers. In order to automate the drying process, this study investigates the creation of a sensoractivated cloth drying machine that incorporates temperature, humidity, and moisture sensors. The technology automatically modifies drying parameters to guarantee energy efficiency and fabric care by continuously observing ambient elements and fabric conditions. Because less human involvement is required, the drying process is more effective, convenient, and energy-efficient. Additionally, it offers the possibility of more intelligent, environmentally friendly solutions by utilizing machine learning and IoT capabilities for customized drying cycles. In addition to improving the user experience, the article shows how these advances might help reduce the environmental effect and energy consumption of traditional drying processes. The results lend credence to the increasing promise of sensor-based drying technologies in creating more ecological and effective home appliances.

Related Organizations
Keywords

Project Sampay, Sensor-Activated Machine, Cloth-Placing, Drying, Raspberry pi,

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green