Smart Baby Cradle Monitoring System

Authors

  • Ms. K Srinidhi Reddy Assistant Professor; Department Of Electronics And Communication Engineering Bhoj Reddy Engineering College For Women, Hyderabad, India. Author
  • Manglaram Akshaya, Kasa Deepika, Shavva Jhansi B.Tech Students; Department Of Electronics And Communication Engineering Bhoj Reddy Engineering College For Women, Hyderabad, India Author

Keywords:

Smart Baby Cradle, IoT Infant Monitoring, Arduino, Cry Detection, Automatic Rocking, GSM Alert System, Moisture Detection, Embedded Systems, Baby Activity Monitoring.

Abstract

The Smart Baby Cradle Monitoring System is an Internet of Things (IoT) based solution developed to enhance infant safety, comfort, and continuous supervision while minimizing manual effort from caregivers. The system incorporates multiple sensors to track important parameters such as infant movement, crying, ambient temperature, and bed wetness. When discomfort is detected, particularly through crying, the cradle automatically initiates a gentle rocking motion to calm the infant. Environmental conditions are continuously monitored to ensure a safe and comfortable atmosphere.If abnormal situations such as excessive crying, temperature variations, or inactivity are identified, instant alerts are transmitted to parents or caregivers through a mobile application or SMS notifications. The system supports real-time monitoring and remote accessibility, making it suitable for working parents and healthcare environments. By integrating embedded systems with IoT technology, the proposed design offers a reliable and cost-effective approach for infant care.The system also features a user-friendly interface that allows caregivers to observe the infant’s condition remotely. Automated cradle movement combined with timely alerts reduces the risk of delayed attention and improves emergency response. The use of low-power sensors and economical microcontrollers makes the solution energy-efficient and affordable. Future enhancements such as live video streaming, cloud-based data storage, and health analytics can further improve system scalability and performance.

DOI: https://doi-ds.org/doilink/04.2026-87961244

Downloads

Published

2026-03-28

How to Cite

Smart Baby Cradle Monitoring System. (2026). International Journal of Engineering and Science Research, 16(1), 504-512. https://www.ijesr.org/index.php/ijesr/article/view/1555

Similar Articles

1-10 of 1093

You may also start an advanced similarity search for this article.