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在施工现场使用边形检测与自动参数调节和基于深度学习的过器的接火花检测

Xi Jin1, Changbum Ryan Ahn1, Jinwoo Kim2

  • 1Department of Architecture and Architectural Engineering, Seoul National University, Seoul 08826, Republic of Korea.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括

这项研究引入了一种新的计算机视觉方法,用于实时检测接火花,以防止建筑火灾. 深度学习模型准确地识别火花,增强消防安全监视.

关键词:
建筑安全建设安全.轮检测 轮检测 轮检测深度学习是一种深度学习.火灾危险 消防危险 消防危险接火花的火花接火花.

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Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
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