Newborn babies who are in incubators require continuous monitoring since they cannot express their pain. Because of the lack of a continuous monitoring system for neonatal incubators, there is no information about the child's health status, which creates havoc for medical staff and treatment will be delayed. Every year, about 20 million unseasonable and low birth weight infants are born in underdeveloped nations, with roughly 4 million of them being bones. These fatalities are mostly caused by the availability of incubators or the unreliability of conventional incubators. Also, while telemedicine has emerged in pastoral regions, there is a shortage of healthcare personnel, making it unsuitable for introduction healthcare. As a result, traditional incubators and corrective approaches require telemedicine contact and feedback. From existing models, only a few parameters are monitored, which does not fully fulfill the secure functioning of an incubator. In the present paper, a secure model with additional monitoring parameters is designed. In this paper, an intelligent monitoring system for neonatal incubators that includes multicomponent tracking and real-time data using various sensors is integrated into a microcontroller. The baby's health and the surroundings in the incubator are regularly monitored. Medical staff receives information about the patient's condition through the ThingSpeak cloud, web server, Pushover application, and Excel spreadsheets, which they can use to process and analyze the child's current condition. Parents also benefit from the ability to monitor their children remotely.