Year: 2025
Type: conference-paper
Abstract: 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.
Authors: Peng Wang, Jiale Jia
Institution: Tianjin University of Science and Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409913534