Please use this identifier to cite or link to this item: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31074
Title: Development of an IOT Based of Drowning detection system for private swmining pools
Authors: Anunso Justice C, Mustapha Hafiz Nwado
Innocent Chika, Aba Ojoinimi king
Thomas Alhassa Mamma, Okeahialam Temple C
C T Ikwazom
Keywords: Safety swimming pool. Object detection yolo v5 architecture raspberry p1 48GB, pin sensor IOT
Issue Date: 1-Mar-2025
Publisher: International journal of the latest Technology in Engineering and Applied science
Citation: Good
Series/Report no.: Volume 7;Pp 31-41
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.
URI: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31074
ISSN: 2504-8880
Appears in Collections:Information and Media Technology

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