A novel hyperspectral camera and analysis platform for the non-destructive material identification and mapping: An application in paintings by El Greco

Balas, Costas; Epitropou, George; Tsapras, Athanasios; Hadjinicolaou, Nikos

doi:10.1109/ist.2016.7738225

Cited by 5 publications

(3 citation statements)

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“…Thermal infrared sensor or visible light camera is widely used for target imaging [48] and material identification [4,20,27]. Specifically, they acquire a target's millions of reflectance and/or fluorescence spectra for material identification [4]. The thermal infrared sensor works in the night but it requires the target to have a temperature above a specific threshold to be detected.…”

Section: Related Workmentioning

confidence: 99%

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TagScan

Wang

Xiong

Chen

et al. 2017

Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking

158

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Target imaging and material identification play an important role in many real-life applications. This paper introduces TagScan, a system that can identify the material type and image the horizontal cut of a target simultaneously with cheap commercial offthe-shelf (COTS) RFID devices. The key intuition is that different materials and target sizes cause different amounts of phase and RSS (Received Signal Strength) changes when radio frequency (RF) signal penetrates through the target. Multiple challenges need to be addressed before we can turn the idea into a functional system including (i) indoor environments exhibit rich multipath which breaks the linear relationship between the phase change and the propagation distance inside a target; (ii) without knowing either material type or target size, trying to obtain these two information simultaneously is challenging; and (iii) stitching pieces of the propagation distances inside a target for an image estimate is non-trivial. We propose solutions to all the challenges and evaluate the system's performance in three different environments. TagScan is able to achieve higher than 94% material identification accuracies for 10 liquids and differentiate even very similar objects such as Coke and Pepsi. TagScan can accurately estimate the horizontal cut images of more than one target behind a wall.

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Section: Related Workmentioning

confidence: 99%

“…RFID systems use frequency hopping for security reason 4. The baseline measurements only need to be measured once.…”

mentioning

confidence: 99%

TagScan

Wang

Xiong

Chen

et al. 2017

Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking

158

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“…Liquid identification has broad application prospects, including intelligent logistics, water pollution inspection, and more. However, traditional methods rely on expensive and invasive specialized equipment [1] [2]. Recently, non-contact liquid identification using wireless technology, such as RFID [3] [4] and WiFi [5], has been widely studied.…”

Section: Introductionmentioning

confidence: 99%

Improving the liquid sensing resolution via multiple transceiver pairs

Dai,

Li,

Zhu

et al. 2023

Second International Conference on Electronic Information Technology (EIT 2023)

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Many studies have shown that wireless sensing would be a promising method for liquid identification, but existing methods still have limitations for fine-grained liquid sensing. In this paper, we propose a liquid identification method based on multiple transceiver pairs, which effectively improves the sensing resolution of liquid identification. We implement our method with a commercially FMCW millimeter wave radar and evaluate its performance. Our result shows that for concentrations as low as 0.5% in alcohol solutions, our method can achieve an accuracy of more than 95%.

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