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Improving Safety for Infant’s Sleep from SIDS using Image Recognition

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dc.contributor.author Piyaratne, M. A. M. D
dc.date.accessioned 2022-03-08T04:52:27Z
dc.date.available 2022-03-08T04:52:27Z
dc.date.issued 2021
dc.identifier.citation Piyaratne, M. A. M. D (2021) Improving Safety for Infant’s Sleep from SIDS using Image Recognition. BSc. Dissertation Informatics Institute of Technology en_US
dc.identifier.issn 2015053
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/864
dc.description.abstract " In a world where productivity is key and an economy where inflation is rising at a staggering rate, household find it harder and harder to meet basic needs, let alone be able to hire afford childcare while they work. Moreover, with the recent transformation in our culture with the Coronavirus Pandemic. Parents are now working from home. This means they must stay productive and keep a constant eye on their children. If they are to get any work done this work environment is not helpful. Even when the children are asleep, they can be in danger of suffocation caused by various risk factors discussed further down. This research monitors infant’s care and level of risk at moments when it is least being observed by caregivers. The system will observe the objects and the infant’s surrounding to ensure a safe and risk-free sleep environment. The system will observe the behaviour at night to ensure that the infant sleep in the most optimum placement/position. " en_US
dc.language.iso en en_US
dc.subject Parenting en_US
dc.subject Sudden Infant Death Syndrome en_US
dc.subject Sudden Infant Death Early Child Development en_US
dc.subject Deep Learning en_US
dc.subject Neural Networks en_US
dc.subject Machine Learning en_US
dc.subject Classification Model en_US
dc.subject Syndrome en_US
dc.title Improving Safety for Infant’s Sleep from SIDS using Image Recognition en_US
dc.type Thesis en_US


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