The project proposes an Intelligent Smart Baby Cradle that uses IoT, embedded systems, and TinyML to monitor an infant’s health and sleeping conditions in real time. An ESP32 microcontroller collects data from sensors such as temperature (DHT11), heartbeat, breathing, and motion sensors. TinyML enables on-device analysis to detect abnormalities like irregular breathing, unsafe temperature, or unusual movement. Alerts are sent to parents via GSM, while data is also uploaded to the cloud for remote monitoring through a web dashboard or mobile app. This system ensures continuous monitoring, quick alerts, and improved infant safety.
Panchetti et al. (Wed,) studied this question.