TY - JOUR
T1 - MultiScanner
T2 - Enabling Simultaneous Detection of Multiple Liquids With mmWave Radar Based on a Composite Reflection Model
AU - Guo, Yifan
AU - Wang, Zhu
AU - Ren, Zhihui
AU - Xu, Wei
AU - Lei, Yangqian
AU - Qin, Qian
AU - Sun, Zhuo
AU - Chen, Chao
AU - Guo, Bin
AU - Yu, Zhiwen
AU - Zhang, Daqing
N1 - Publisher Copyright:
© 2002-2012 IEEE.
PY - 2025/12/1
Y1 - 2025/12/1
N2 - Traditional liquid detection approaches are often time-intensive and invasive, typically requiring the opening of containers for examination. While recent initiatives have proposed several innovative solutions, including camera-based and vibration sensor-based techniques, these approaches still face limitations in terms of convenience. The development of radio frequency (RF) technology, particularly millimeter-wave (mmWave) radar, offers a promising solution for non-invasive and contactless liquid detection. In particular, during the past few years, a number of radar-based sensing systems have been developed to detect or identify liquids. However, little work has been done on the simultaneous detection of multiple liquids. To fill this gap, we design a novel composite reflection model, which overcomes the detection challenges due to composite interference and environmental reflections, by utilizing the consistency and uniqueness of the reflection signals from multiple liquid targets. Based on the proposed model, we develop a system named MultiScanner, which is able to detect different types of liquids in multi-target scenarios, exhibiting high location independence without the need for extensive data training. Extensive experiments validate the effectiveness of MultiScanner, achieving up to 95.91% accuracy in detecting 10 hazardous-normal liquid combinations in 2-target scenarios. Moreover, even in more complex 5-target scenarios, an detection accuracy of 86.49% can be obtained. To the best of our knowledge, this is the first study that uses RF signals for multi-liquid detection.
AB - Traditional liquid detection approaches are often time-intensive and invasive, typically requiring the opening of containers for examination. While recent initiatives have proposed several innovative solutions, including camera-based and vibration sensor-based techniques, these approaches still face limitations in terms of convenience. The development of radio frequency (RF) technology, particularly millimeter-wave (mmWave) radar, offers a promising solution for non-invasive and contactless liquid detection. In particular, during the past few years, a number of radar-based sensing systems have been developed to detect or identify liquids. However, little work has been done on the simultaneous detection of multiple liquids. To fill this gap, we design a novel composite reflection model, which overcomes the detection challenges due to composite interference and environmental reflections, by utilizing the consistency and uniqueness of the reflection signals from multiple liquid targets. Based on the proposed model, we develop a system named MultiScanner, which is able to detect different types of liquids in multi-target scenarios, exhibiting high location independence without the need for extensive data training. Extensive experiments validate the effectiveness of MultiScanner, achieving up to 95.91% accuracy in detecting 10 hazardous-normal liquid combinations in 2-target scenarios. Moreover, even in more complex 5-target scenarios, an detection accuracy of 86.49% can be obtained. To the best of our knowledge, this is the first study that uses RF signals for multi-liquid detection.
KW - Liquid detection
KW - composite signal separation
KW - mmWave radar
KW - multiple target
KW - wireless sensing
UR - https://www.scopus.com/pages/publications/105010299006
U2 - 10.1109/TMC.2025.3587079
DO - 10.1109/TMC.2025.3587079
M3 - Article
AN - SCOPUS:105010299006
SN - 1536-1233
VL - 24
SP - 13142
EP - 13159
JO - IEEE Transactions on Mobile Computing
JF - IEEE Transactions on Mobile Computing
IS - 12
ER -