IR-YOLOv7-Tiny:用于面料缺陷检测的轻量级和坚固的框架
1School of Mechanical Engineering, Zhejiang University, Hangzhou 310058, China.
Sensors (Basel, Switzerland)
|February 27, 2026
概括
这项研究介绍了IR-YOLOv7-Tiny,一种轻量级的织物缺陷检测仪. 它以最小的参数实现了高精度,克服了工业检查中的挑战.
科学领域:
- 计算机视觉 计算机视觉
- 材料科学 材料科学 材料科学
- 工业自动化 工业自动化
背景情况:
- 织物缺陷检测面临诸如错过检测,错误报警和电磁干扰等挑战.
- 现有的方法在工业部署中与资源限制作斗争.
- 需要高效,强大的自动化织物检查系统.
研究的目的:
- 开发一种轻量级,耐干扰的织物缺陷检测器.
- 提高自动化织物检查的准确性和效率.
- 在资源有限的环境中解决当前方法的局限性.
主要方法:
- 使用色调和值 (HSV) 分解来抑制干扰.
- 使用离散波纹转换器 (DWT) 来提取定向纹理特征.
- 修改了你只看一次版本 7 微小 (YOLOv7-Tiny) 与空间金字塔扩展卷积 (SPD) 块,以增强细节的保存.
主要成果:
- 拟议的IR-YOLOv7-Tiny在TILDA数据集上达到96.8%,在DAGM数据集上达到98.8%的高平均精度 (mAP@0.5).
- 该模型只有350万个参数,显示出高效率.
- 在mAP@0.5.5中,基线模型的表现明显优于基线模型的2.2%和3.9%.
结论:
- IR-YOLOv7-Tiny检测器对于织物缺陷检查非常有效.
- 该模型在资源有限的工业环境中表现出极好的部署能力.
- 提出的方法成功地解决了干扰和细节保存的挑战.
相关概念视频
Lumber Defects
594
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...
Shakes are minor fractures that run along or across the wood's annual rings, while wane is...
594
Types of Errors: Detection and Minimization
11.6K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
11.6K
IR Frequency Region: Fingerprint Region
2.1K
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
2.1K
Light Acquisition
9.7K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
9.7K
IR Spectrometers
2.8K
There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
2.8K
Difference from Background: Limit of Detection
8.6K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
8.6K

