Deep Learning Based Infant and Child Monitoring System

This paper focuses on a baby monitoring system based on computer vision and multi-branch convolutional neural network, firstly, the collected photos are processed, and then the algorithm is implemented using openCV library to train to get the baby's facial target detection model, and secondly, based on the opencv algorithm and yolov8 algorithm technology to achieve the tracking and analysis of baby's behavioral trajectory and facial detection.Finally, we realized the functions of target tracking, night lightening, image segmentation and baby face detection, and the detection achieved good results.