Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Design Example: Joints in Concrete Pavements01:28

Design Example: Joints in Concrete Pavements

216
Concrete pavement joints are essential for maintaining the structural integrity and longevity of pavement by controlling where and how the pavement cracks. These joints can be categorized based on their functions, such as contraction or control joints, construction joints, isolation joints, and expansion joints.
Contraction joints are typically formed by sawing a groove into the concrete shortly after it has hardened. This creates a weakened vertical plane, deliberately encouraging cracking at...
216
Reducing Line Loss01:18

Reducing Line Loss

173
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
173
Lumber Defects01:23

Lumber Defects

148
Lumber defects, which can affect both the appearance and structural integrity of wood, include a variety of growth and manufacturing flaws. Growth defects such as knots and knotholes occur where branches were once attached to the tree trunk, with knotholes forming when these knots fall out. Other natural defects include decay and insect damage, which compromise the wood's strength and durability.
Shakes are minor fractures that run along or across the wood's annual rings, while wane is...
148
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.2K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.2K
Non-destructive Tests for Concrete Strength01:12

Non-destructive Tests for Concrete Strength

143
The rebound hammer test, also known as the Schmidt hammer test, is a non-destructive technique for evaluating the hardness of concrete and, indirectly, the strength of concrete. It operates on the principle that the rebound of a spring-driven mass from a concrete surface correlates to the surface's hardness. The device comprises a mass within a tubular housing, a spring mechanism, and a plunger that strikes the concrete. Upon release, the energy imparted to the mass by the spring causes it...
143
Differential Leveling01:12

Differential Leveling

212
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
212

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Zinc Tetraphenylporphyrin Enables Dual Modulation of Solvation and Interfacial Chemistry in Aqueous Zinc-Ion Batteries.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Effects of Dietary Concentrate-to-Roughage Ratio on Rumen Microbiota, Functional Profiles, and Fermentation Characteristics in Yak.

Microorganisms·2026
Same author

Employing network toxicology, molecular docking, machine learning, and single-cell analysis to analyze BPA exposure-induced ccRCC.

Biochemical and biophysical research communications·2026
Same author

Healthcare inequity in mpox testing intention: A socioeconomic status-stratified path analysis of medical discrimination and distrust among men who have sex with men in China.

Global health research and policy·2026
Same author

α/Sulfonyl-γ-AApeptide foldamers mitigate Alzheimer's disease pathology by stabilizing transient helical domains in Aβ.

Nature communications·2026
Same author

Nitrogen fertilization and rhizosphere processes regulate methane uptake in a nitrogen-limited forest.

Frontiers in plant science·2026

相关实验视频

Updated: Jul 18, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.2K

路面缺陷检测的轻量级模型基于改进的YOLOv7

Peile Huang1, Shenghuai Wang1, Jianyu Chen1

  • 1School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan 442002, China.

Sensors (Basel, Switzerland)
|August 26, 2023
PubMed
概括

本研究介绍了一种使用改进的YOLOv7架构轻量化路面缺陷检测模型. 增强型号实现了高精度和速度,使其适用于边缘设备.

科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 土木工程 土木工程是指土木工程.

背景情况:

  • 现有的路面缺陷检测模型在准确性,速度和大参数大小方面扎.
  • 这些局限性阻碍了在具有有限计算能力的边缘设备上部署模型.

研究的目的:

  • 开发一种轻量级和高效的路面缺陷检测模型.
  • 为了提高边缘计算应用的路面缺陷检测的准确性和速度.

主要方法:

  • 提出了改进的YOLOv7架构,包括SPPCSPC_Group,K-means集群用于,Ghost Conv和CBAM模块.
  • 这些改进旨在减少参数负载,计算复杂性,并改进特征提取.

主要成果:

  • 改进后的模型平均准确率达到91%,检测破碎板块 (9%) 和修复区域 (8%) 显著增加.
  • 观察到计算 (14.4%),参数 (29.3%) 和模型大小 (29.1%) 的显著减少.
  • 该模型实现了80 FPS (每秒) 的处理速度.

结论:

  • 改进的YOLOv7模型有效地平衡了参数减少和计算效率,同时保持了高检测准确度.
关键词:
在CBAM的卷积模块中,幽灵传递模块 (Ghost Conv) 是一个模块.K-意味着K的意思是K.SPPCSPC_集团 在线观看这就是YOLOv7的意思.发现缺陷检测检测缺陷检测路面上的缺陷检测,路面上的缺陷检测.

更多相关视频

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.5K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.0K

相关实验视频

Last Updated: Jul 18, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.2K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.5K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.0K
  • 这种轻量级模型是对资源有限的边缘设备上路面缺陷检测的合适替代方案.