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相关概念视频

Sight Distance in a Vertical Curve01:29

Sight Distance in a Vertical Curve

128
Sight distance on vertical curves is critical in roadway design. It ensures drivers can see far enough ahead to identify and respond to hazards effectively. This directly impacts safety, driver comfort, and the overall efficiency of the transportation network.Vertical curves are classified into crest and sag curves based on their geometry. For crest curves, sight distance is determined by the line of sight between a driver's eye and a small object on the road's surface. Design parameters for...
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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
729
Friction: Problem Solving01:21

Friction: Problem Solving

276
Friction is an essential force that influences the motion of objects in daily life. Depending on the situation, it can be either beneficial or problematic. Consider a bus with a mass of three megagrams and its center of mass at a specific point, moving along a banked road at a constant speed. The coefficient of static friction between the tires and the road is 0.5. Find the maximum angle of the banked road at which the bus would not slip or tip.
Initially, a visual representation of the...
276

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相关实验视频

Updated: Sep 9, 2025

Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights
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基于计算机视觉的安全距离估计方法,以防止叉车翻转

Aqsa Sabir1, Rahat Hussain2, Muhammad Sibtain Abbas2

  • 1Department of Computer Science and Engineering, Chung-Ang University, Korea.

International journal of occupational safety and ergonomics : JOSE
|August 28, 2025
PubMed
概括

这项研究引入了计算机视觉系统,通过测量叉子与负载重心之间的距离来防止叉车翻转. 这种方法在检测不安全条件时达到了93%的准确性,提高了工作场所的安全性.

关键词:
美国OSHA规则的遵守计算机视觉叉车危险的识别翻转工作人员安全

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科学领域:

  • 工程
  • 计算机科学
  • 工作安全

背景情况:

  • 由于负载位置不当,叉车翻转在施工中会带来重大风险.
  • 手动安全检查是低效的,需要持续的人员监督.

研究的目的:

  • 开发基于计算机视觉的系统,用于早期检测叉车翻转的危险.
  • 自动测量叉车叉和负载的重心之间的关键距离.

主要方法:

  • 使用 YOLOv8 的计算机视觉来检测物体.
  • 开发了一个安全距离估计模块 (SafeDEM),集成叉车长度和安全法规.
  • 根据美国国家安全局的标准进行分类行为.

主要成果:

  • 在识别安全/不安全场景时达到93%的分类准确度.
  • 该系统以24 FPS的实时处理.
  • 通过24英寸安全门进行了成功测试.

结论:

  • 拟议的方法提供了一个可扩展的,非侵入性的解决方案,以提高叉车的稳定性.
  • 在叉车移动之前能够提前发现危险,提高工作场所的安全性.
  • 支持未来的动态部署以及静态操作.