Internet of Things-Based Patient Cradle System with an Android App for Baby Monitoring with Machine Learning

Abstract

It is becoming more popular because of the widespread availability of high-speed Internet and the widespread use of mobile phones, both of which are contributing to its rise in popularity. One such significant issue is the use of mobile phones by working parents to keep an eye on the behaviour of their children while they are babysitting for others, which is a significant concern. This study introduces the notion of a smart cradle, which enables for this kind of video monitoring to be carried out on an infant. An infant’s scream triggers the automated swinging of this cradle, which begins when the sensor detects it. In addition, if the baby’s cry persists for an extended period of time, the gadget triggers a buzzer and sends a text message to the phone, signalling that the cradle is no longer capable of handling the infant and that the baby needs human assistance if the cradle’s mattress is wet. This cradle is equipped with an automatic spinning toy for the baby’s entertainment, which reduces the likelihood of a newborn crying throughout the day. A notable rise in the number of working mothers has been seen in recent years. Consequently, the vast majority of parents place their children in the care of their grandparents or in the care of child-minding companies. In addition, we developed a new algorithm for our system, which is critical in delivering better newborn care when parents are not there to assist. Due to the fact that parents are unable to continuously monitor their children’s condition in ordinary or atypical situations while they are at work, this is the case. Node is the fundamental building unit of a microcontroller. Over the course of a single day, the controller board will collect data from the sensors and transmit it to the Adafruit MQTT server over Wi-Fi to be processed. In addition to monitoring the baby’s vital signs, sensors are also used to detect environmental conditions such as the temperature, humidity, and amount of crying in the surroundings. Using the NX Siemens software, a prototype for the cradle was created. Red meranti wood was utilized in its construction. Whenever the baby begins to scream, the system design automatically swings the infant cradle, which is powered by a motor that is built into the system. In addition, parents may use an external web camera to keep checks on the health of their children when they are away from home. Every aspect of this network has been tested to guarantee that it functions effectively and safely at all times.