IoT Based Infant Supervising System

Abstract

In order to prevent infants from sudden infant death syndrome which is a serious problem among premature babies a wireless infant monitoring system has been designed. It measures every condition with respect to the baby such as position of sleeping, respiratory rate and baby’s body temperature, humidity and heartbeat of an infant as well as its surrounding carbon monoxide concentration within the incubator. These parameters are considered to influence the sudden death of infants. They are measured and transmitted to the server which is located at a remote area with the help of WiFi. Alarms will be triggered if any of the monitored parameters is beyond the preset limits. The system overcomes the problems of the present system where the monitoring is done manually due to which there are risks of time delay of realizing or getting alerted in case of a serious issue with the child. The device can be easily integrated into cloud service so that a wireless communication can be established due to which parents can monitor their baby continuously from the home. The project aims at proposing an automated system to measure the level of Co2 in the incubator which when high causes suffocation and also detect the occurrence of Fits in the baby whereby are death syndromes and prevent them by rapid actions. Along with this we measure other essential parameters and communicate these details continuously through IoT web technologies immediately to the required personnel.