International Journal For Multidisciplinary Research

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IoT Based Smart Cradle For Infant Health Monitoring Using NodeMCU

Author(s) Thushara Hameed, Maheswari Maruthakutti, Pandimadevi Ganesan
Country Oman
Abstract In recent years, baby care has become more important and challenging for working mothers. Even at home, working mothers will not have enough time to monitor their babies continuously. They give the responsibility of their baby to either a baby caretaker or they send the baby to their grandparents ‘house. This project aims at reducing the challenges faced by parent by developing an IOT based Smart Cradle monitoring System that will assist Parent in monitoring their child. This cradle is equipped with a swinging mechanism which swings automatically on detection of baby crying sound. In the proposed work, a smart cradle with an automated baby monitoring system was developed. In the baby monitoring system, the necessary parameters of the infant like temperature, heartbeat rate are measured and monitored. Using an IOT-enabled smart cradle system, parents can keep an eye on their children even when they are far from the house and can track their movements anywhere in the world. This system includes all the information necessary to care for and protect the infant in the cradle. The use of technologies such as Internet of Things (IOT) modules like NodeMCU, temperature sensor, moisture and pulse rate sensors enables the design of intelligence and innovation. All of the conditions that were taken from the modules will be saved in the cloud (thing Speak) and periodically analyzed.
Keywords NodeMCU, Sound Detector, Moisture Sensor, Pulse rate sensor, ThingSpeak.
Field Engineering
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-16
Cite This IoT Based Smart Cradle For Infant Health Monitoring Using NodeMCU - Thushara Hameed, Maheswari Maruthakutti, Pandimadevi Ganesan - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.17031
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.17031
Short DOI https://doi.org/gtrfpk
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