BIUSTRE

A smart and solar-powered solid waste segregator with cloud-based wireless monitoring system in a school campus

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dc.contributor.author Nagayo, Analene Montesines
dc.contributor.author Vega, Eugene
dc.contributor.author Al Maqbali, Omar Rashid
dc.contributor.author Al Farsi, Ammar Yousuf
dc.contributor.author Jamisola, Rodrigo S.
dc.date.accessioned 2020-08-20T09:59:52Z
dc.date.available 2020-08-20T09:59:52Z
dc.date.issued 2019-06
dc.identifier.citation Nagayo, A. M. et al (2019) A smart and solar-powered solid waste segregator with cloud-based wireless monitoring system in a school campus. In Jamisola, Rodrigo S. Jr (ed.) BIUST Research and Innovation Symposium 2019 (RDAIS 2019); 1 (1) 154- 160. en_US
dc.identifier.issn 2521-2292
dc.identifier.uri http://repository.biust.ac.bw/handle/123456789/192
dc.description.abstract This work presents the design and implementation of a smart and solar-powered solid waste segregation system using Arduino microcontroller interfaced with sensors, actuators. and Particle Photon cloud for wireless monitoring. The materials segregated are metal and non-metal that includes plastic, paper, and glass. Metal detection is done using inductive proximity sensor. Plastic is detected using infrared sensor based on shape and size. Laser and light dependent resistor (LDR) pair is used to detect paper. And lastly, glass bottles are detected using capacitive sensor. The prototype has an average percentage accuracy of 90.67% for sorting 30 assorted waste samples. en_US
dc.language.iso en en_US
dc.publisher Botswana International University of Science and Technology (BIUST) en_US
dc.subject Waste management en_US
dc.subject Solar energy en_US
dc.subject Automation en_US
dc.subject Control design en_US
dc.subject Cloud-based monitoring en_US
dc.subject Electronic sensors en_US
dc.title A smart and solar-powered solid waste segregator with cloud-based wireless monitoring system in a school campus en_US
dc.description.level phd en_US
dc.description.accessibility unrestricted en_US
dc.description.department mie en_US


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