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基站电气设备的红外图像目标检测基于改进的更快的基于区域的卷积神经网络算法

Changdong Wu1, Yanliang Wu1, Xu He1

  • 1School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China.

The Review of scientific instruments
|April 10, 2024
PubMed
概括

这项研究引入了一种改进的Faster R-CNN算法,用于在低质量的红外图像中检测电气设备. 改进后的模型实现了更高的准确性和回忆,提高了变电站的安全性和维护.

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IR Frequency Region: Fingerprint Region01:03

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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...
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