AI-Powered Detection of Forgotten Children in Vehicles Using YOLOv11 for Enhanced Safety

This study proposes a child presence detection system in vehicles, focusing on evaluating the performance of YOLOv11 for accurate detection and identification.To train the system, images simulating a child's presence in vehicles were collected using a doll, and these annotated images were labeled with the Computer Vision Annotation Tool (CVAT).The study emphasizes the potential of YOLOv11 as an effective and reliable solution for unattended child detection in vehicles.By leveraging advanced deep learning techniques, this research highlights the importance of addressing critical safety issues.