IOT Based Incubator Monitoring System in Health Sector

The IoT-Based Incubator Monitoring System is an advanced and intelligent solution designed to improve the safety, comfort, and continuous monitoring of infants in neonatal and home care environments. Infants, especially newborns and premature babies, are highly sensitive to environmental changes and require constant supervision. Traditional monitoring systems often lack automation, real-time data access, and multi-parameter integration, making them insufficient for modern healthcare needs. This project proposes a smart incubator system combining an Arduino Mega 2560 microcontroller with Internet of Things (IoT) technology to provide a reliable, automated, and cost-effective monitoring solution. The system integrates an IR sensor for movement detection, a raindrop sensor for wetness (diaper hygiene) monitoring, and a DHT11 sensor for continuous temperature measurement. When temperature exceeds a safe threshold, a CPU fan activates automatically to regulate the environment. A GSM module sends SMS alerts to caregivers, a buzzer provides local notifications, and a NodeMCU (ESP8266) module transmits real-time data to the ThingSpeak IoT cloud platform for remote visualization. An IP camera enables live video surveillance. The system is tested and validated, demonstrating accurate sensing, timely alert generation, and successful remote monitoring capability, significantly reducing the need for manual supervision while enhancing infant safety.