Development of an IOT Based of Drowning detection system for private swmining pools

Please use this identifier to cite or link to this item: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31074

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DC Field	Value	Language
dc.contributor.author	Anunso Justice C, Mustapha Hafiz Nwado	-
dc.contributor.author	Innocent Chika, Aba Ojoinimi king	-
dc.contributor.author	Thomas Alhassa Mamma, Okeahialam Temple C	-
dc.contributor.author	C T Ikwazom	-
dc.date.accessioned	2026-05-12T14:33:39Z	-
dc.date.available	2026-05-12T14:33:39Z	-
dc.date.issued	2025-03-01	-
dc.identifier.citation	Good	en_US
dc.identifier.issn	2504-8880	-
dc.identifier.uri	http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31074	-
dc.description.abstract	Drowning among the top three leading causes of Unintentional death world wide, accounting for over 8% of all injury- related deaths, Annually, over 22,000 deaths occure due to Drowning in adults, teenagers, and children. The highest rate is among children ages 0- 15 year's available solutions to this murder ( drowning) involve traditional fencing of swmining pools.	en_US
dc.description.sponsorship	Self sponsor	en_US
dc.language.iso	en	en_US
dc.publisher	International journal of the latest Technology in Engineering and Applied science	en_US
dc.relation.ispartofseries	Volume 7;Pp 31-41	-
dc.subject	Safety swimming pool. Object detection yolo v5 architecture raspberry p1 48GB, pin sensor IOT	en_US
dc.title	Development of an IOT Based of Drowning detection system for private swmining pools	en_US
dc.type	Article	en_US
Appears in Collections:	Information and Media Technology

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