Smart Baby Monitoring System

dc.contributor.author	Project Supervisor Dr. Ahmad Rauf Subhani, NC Hamza Khalil NC Hassan Ali NC M. Hassan Touqir
dc.date.accessioned	2024-05-11T08:55:24Z
dc.date.available	2024-05-11T08:55:24Z
dc.date.issued	2022
dc.identifier.other	DE-ELECT-40
dc.identifier.uri	http://10.250.8.41:8080/xmlui/handle/123456789/43342
dc.description	Project Supervisor Dr. Ahmad Rauf Subhani	en_US
dc.description.abstract	The aim of the project is to facilitate new parents with their new babies. As they have little to no experience in taking care of their babies. Moreover, working parents would hugely benefit from our proposed solution. The project comprises of 2 parts, firstly cry of the baby is classified into four classes namely, Hunger, Tiredness, Discomfort and Belly-Pain. Machine Learning techniques are used for cry classification. Second part of the project is regarding baby monitoring. Pi cam and Raspberry Pi 4 are used to monitor the baby such as if the baby is sleeping or awake. Pose estimation and Eye Aspect Ratio are used for Sleep/Awake Detection. If eyes of the baby are visible then EAR ratio is used and if eyes are not visible then Pose Estimation is used	en_US
dc.language.iso	en	en_US
dc.publisher	College of Electrical and Mechanical Engineering (CEME), NUST	en_US
dc.title	Smart Baby Monitoring System	en_US
dc.type	Project Report	en_US