EyeGuard is an intelligent web application designed to improve road safety by detecting driver drowsiness in real time using Artificial Intelligence and Computer Vision. The system continuously ...
Abstract: The increasing global aging population and the associated risk of falls necessitate the development of efficient and reliable automated human fall detection systems. This paper presents a ...
Abstract: Falls remain a leading cause of injury-related morbidity among elderly populations and vulnerable individuals in smart living environments. Despite advances in deep learning-based fall ...
Training-free framework that converts SAM3 into a real-time multi-class open-vocabulary detector. Achieves 55.8 AP on COCO val2017 (80 classes) at 15.8 FPS (4 classes, 1008px) on a single RTX 4080.
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