Miniaturized customized filtering-wheel-based multispectral imaging system for target detection

Wang, Yan; Tong, Geng; Li, Ben; Guo, Xujun; Song, Xuankun; Zhao, Yang; Karim, Shahid; Deng, Chenwei; Zhou, Jian; Zhang, Wei; Yu, Yiting

doi:10.1016/j.measurement.2023.113506

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…Country: American) [13]. Meanwhile, many researchers have developed multispectral infrared imaging systems based on filtering wheels, which monitor various harmful gases in the atmosphere [14][15][16]. However, most existing infrared detection systems are equipped with only one filter to detect SF6 gas.…”

Section: Conceptual Design Of the Cbi Systemmentioning

confidence: 99%

“…The most representative product is the GF306 gas imaging instrument developed by the American FLIR company (Manufacturer: FLIR Systems, Inc. City: Wilsonville, State abbreviation: OR, Country: USA) [13]. Meanwhile, many researchers have developed multispectral infrared imaging systems based on filtering wheels, which monitor various harmful gases in the atmosphere [14][15][16]. However, most existing infrared detection systems are equipped with only one filter to detect SF 6 gas.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring SF6 Gas Leakage Based on a Customized Binocular System

Si,

Zhao,

Wang

et al. 2024

Sensors

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Sulfur hexafluoride (SF6) gas is extensively utilized as an insulating and arc-quenching medium in the circuit breakers and isolating switches of electrical equipment. It effectively isolates the circuits from the atmosphere and promptly extinguishes arcs. Therefore, the issue of SF6 gas leakage poses a significant threat to the related application fields, and the detection of SF6 gas leakage becomes extremely important. Infrared imaging detection offers advantages including non-contact, high precision, and visualization. However, most existing infrared detection systems are equipped with only one filter to detect SF6 gas. The images captured contain background noise and system noise, making these systems vulnerable to interference from such noises. To address these issues, we propose a method for monitoring SF6 gas leakage based on a customized binocular imaging (CBI) system. The CBI system has two filters, greatly reducing the interference of system noise and background noise. The first filter features the absorption resonant peak of SF6 gas. The second filter is used to record background noise and system noise. One aspect to note is that, in order to avoid the interference of other gases, the central wavelength of this second filter should keep away from the absorption resonant peaks of those gases. Accordingly, the central wavelengths of our customized filters were determined as 10,630 nm and 8370 nm, respectively. Then, two cameras of the same type were separately assembled with a customized filter, and the CBI prototype was accomplished. Finally, we utilized the difference method using two infrared images captured by the CBI system, to monitor the SF6 gas leakage. The results demonstrate that our developed system achieves a high accuracy of over 99.8% in detecting SF6 gas. Furthermore, the CBI system supports a plug-and-play customization to detect various gases for different scenarios.

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Section: Conceptual Design Of the Cbi Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monitoring SF6 Gas Leakage Based on a Customized Binocular System

Si,

Zhao,

Wang

et al. 2024

Sensors

Self Cite

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Realisation of an Application Specific Multispectral Snapshot-Imaging System Based on Multi-Aperture-Technology and Multispectral Machine Learning Loops

Wunsch,

Hubold,

Nestler

et al. 2024

Sensors

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Multispectral imaging (MSI) enables the acquisition of spatial and spectral image-based information in one process. Spectral scene information can be used to determine the characteristics of materials based on reflection or absorption and thus their material compositions. This work focuses on so-called multi aperture imaging, which enables a simultaneous capture (snapshot) of spectrally selective and spatially resolved scene information. There are some limiting factors for the spectral resolution when implementing this imaging principle, e.g., usable sensor resolutions and area, and required spatial scene resolution or optical complexity. Careful analysis is therefore needed for the specification of the multispectral system properties and its realisation. In this work we present a systematic approach for the application-related implementation of this kind of MSI. We focus on spectral system modeling, data analysis, and machine learning to build a universally usable multispectral loop to find the best sensor configuration. The approach presented is demonstrated and tested on the classification of waste, a typical application for multispectral imaging.

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Miniaturized customized filtering-wheel-based multispectral imaging system for target detection

Cited by 2 publications

References 21 publications

Monitoring SF6 Gas Leakage Based on a Customized Binocular System

Monitoring SF6 Gas Leakage Based on a Customized Binocular System

Realisation of an Application Specific Multispectral Snapshot-Imaging System Based on Multi-Aperture-Technology and Multispectral Machine Learning Loops

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