In today's digital parenting world, it is typically the responsibility of women to care for newborns, which presents a challenge and raises questions about the baby's safety, health, and comfort, among other issues. of a baby This paper proposes a distance-based image processing baby surveillance system for the purpose of ensuring the safety of infants and keeping an eye on their activities while their parents are busy. The device recognize the baby's movement, tears and current cries and system sends a message to a specific user via email with text and images any abnormalities of the infant activity is discovered. Videos captured by the Raspberry Pi B+ module are processed using the used camera is a MIC to detect image processing is utilized when sobbing to detect infant movements and bed border in real time conditions. The hardware necessary to install OS Raspbian initially in addition to all of the other packages, such as Numpy, Virtual Environment, and OpenCV. The Haar classifier is used to train the face detection algorithm for both favourable facial pictures and unfavourable body images. The likelihood of the infant tumbling out of bed will be reduced with the assistance of this system. Additionally, this system is able to utilized while in hospitals the infant is dozing, reducing nurses' stress. The proposed system will make these obstacles easier to overcome, relieve parent stress,and, most importantly, keep the baby safe, healthier, and comfortable while he sleeps.

#