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Updated: Jul 22, 2026

Design and Analysis for Fall Detection System Simplification
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Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

SDES-YOLO:一种高精度和轻量级的模型,用于在复杂环境中检测落

Xiangqian Huang1, Xiaoming Li2, Limengzi Yuan3

  • 1International Business School, Zhejiang Yuexiu University, Shaoxing, Zhejiang, 312000, China.

Scientific reports
|January 15, 2025
PubMed
概括

一个新的AI模型SDES-YOLO显著提高了落检测的准确性和效率. 这种先进的系统通过及时识别落来提高安全性,即使在恶劣的条件下,如灯光不佳和堵塞.

关键词:
边缘和空间信息融合模块落检测 落检测 落检测多个尺度的特征提取金字塔.闭塞意识注意力机制的注意力机制在WIoU-Shape损失功能的过程中.这是一个YOLO YOLO.

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