Next-Generation IoT Smart Cradle System for Infant Health and Monitoring
The IoT-Based Smart Cradle is a state-of-the-art technological innovation that is radically changing the perception of conventional baby cradles with its sophisticated Internet of Things (IoT) capabilities. The smart and comprehensive baby monitoring solution provided by this creative concept satisfies the needs of working parents as well as their treasured newborns. The Smart Cradle uses several cutting-edge technologies to enhance newborn safety and caregiver care. The cradle's built-in motion sensors detect the baby's movements when they stir or cry, gently rocking them back and forth to reassure and calm them. The cradle may operate on its own without continual parental supervision thanks to the straightforward integration of IoT technology. One of the primary artistic elements. These sensors keep an eye on the nursery's conditions all the time to make sure the conditions are right for the baby's health and restful sleep. When it notices a departure from ideal settings, the gadget immediately alerts caretakers, allowing them to ensure the baby's safety. The IoT-Based Smart Cradle's capability to stream live audio and video is among its most remarkable features. With the aid of an easy-to-use smartphone app, parents and other caregivers may view and communicate with their infant in real time from a distance. With the aid of this practical technology, parents can monitor their kids even when they're not there and maintain a connection with them. The Arduino microcontroller, which facilitates Internet of Things communication, is the brains behind the Smart Cradle. With the aid of an ESP8266 wifi shield, it effortlessly synchronizes the harmonious interaction of motion and ambient sensors to transmit data to the cloud. In this IoT ecosystem, security and privacy are crucial, and strong encryption techniques guarantee that private information is shielded from unwanted access.
Authors
- M. Arun Kumar
- T. Chindrella Priyadharshini
- J Rohan
- R Rithick
- Mohamed Ajmal S
Publication Details
- Published
- 2025-06-05
- DOI
- https://doi.org/10.1109/icetea64585.2025.11099798
- Primary Topic
- Smart Systems and Machine Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00