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相关概念视频

Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

132
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
132
Dimensional Analysis03:40

Dimensional Analysis

55.0K
Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
Conversion Factors and Dimensional Analysis
The unit...
55.0K
Design Example: Dimensioning of Concrete Masonry Construction01:13

Design Example: Dimensioning of Concrete Masonry Construction

143
For the construction of a storeroom using concrete masonry units, it's essential to align the dimensions of the structure with the actual sizes of the blocks and the intended mortar joints. On the site in question, there's a stockpile of concrete masonry blocks with a nominal size of eight by eight by sixteen inches, which are to be used in the construction of the storeroom.
The site engineer has laid out a plan for the storeroom with external dimensions of twelve feet in length and...
143
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

125
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
125
Distance Corrections01:15

Distance Corrections

91
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
91
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

6.0K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
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相关实验视频

Updated: Sep 17, 2025

Quantifying Intermembrane Distances with Serial Image Dilations
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Published on: September 28, 2018

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在高速分类系统中研究包裹箱的尺寸测量算法.

Ning Dai1, Jingchao Chen2, Xudong Hu2

  • 1Key Laboratory of Modern Textile Machinery and Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou, 310018, China. zstudn@zstu.edu.cn.

Scientific reports
|July 1, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种深度学习的3D本地化算法和高效物体检测网络 (EODNet),用于高效的包裹箱检测. 该模型提供了高精度和速度,解决了物流自动化的局限性.

关键词:
3D本地化算法 3D本地化算法高速物流应用程序 高速物流应用程序线性注意力机制 线性注意力机制包裹箱检测系统可以检测包裹箱.

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Last Updated: Sep 17, 2025

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科学领域:

  • 计算机视觉 计算机视觉
  • 机器学习 机器学习
  • 物流 技术 技术 物流 技术

背景情况:

  • 传统的手动分类效率低下,成本高昂,难以满足现代物流行业的需求.
  • 现有的包裹箱检测算法在平衡准确性,效率和部署成本方面面临挑战.

研究的目的:

  • 通过深度学习,为使用矩形包装盒的新型3D定位算法提出建议.
  • 设计一个轻量级和高效的包裹箱检测模型,高效物体检测网络 (EODNet).

主要方法:

  • 开发了一种基于深度学习的3D定位算法,用于矩形包装盒.
  • 设计了高效物体检测网络 (EODNet),将线性注意力机制纳入脊柱.
  • 在模型的部实现了高低层特征融合结构和C2f-GhostCondConv,用于选择性特征融合.

主要成果:

  • EODNet模型证明了高效的特征选择,计算成本低.
  • 实现了具有小参数数量和计算负载的特征的选择性融合.
  • 在包装盒和公共数据集上验证了模型的有效性和普遍性.
  • 在包裹箱大小预测方面取得了高准确性,平均误差低于3.7%.

结论:

  • 拟议的深度学习算法和EODNet有效地解决了传统排序和现有检测方法的局限性.
  • 该模型实现了高精度和速度 (10毫秒以下),使其适用于现实世界的物流应用.
  • 轻量级的设计和高效的机制有助于在性能和部署成本之间取得平衡.