Radar-based sensing and concealed weapon detection technologies have been attracting attention as a measure to enhance security screening in public facilities and various venues. For these applications, the security check must be performed without impeding the flow of people, with minimum human effort, and in a non-contact manner. We developed technologies for a high-throughput walk-through security screening called Invisible Sensing (IVS) and implemented them in a prototype system. The IVS system consists of dual planar radar panels facing each other and carries out an inspection based on a multi-region screening approach as a person walks between the panels. Our imaging technology constructs a high-quality radar image that compensates for motion blur caused by a person's walk. Our detection technology takes multi-view projected images across the multiple regions as input to enable real-time whole-body screening. The IVS system runs its functions by pipeline processing to achieve real-time screening operation. This paper presents our IVS system along with these key technologies and demonstrates its empirical performance.
Masayuki ARIYOSHI
NEC Corporation
Kazumine OGURA
NEC Corporation
Tatsuya SUMIYA
Nagma S. KHAN
NEC Corporation
Shingo YAMANOUCHI
NEC Corporation
Toshiyuki NOMURA
NEC Corporation
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Masayuki ARIYOSHI, Kazumine OGURA, Tatsuya SUMIYA, Nagma S. KHAN, Shingo YAMANOUCHI, Toshiyuki NOMURA, "Practical Implementation of Motion-Robust Radar Imaging and Whole-Body Weapon Detection for Walk-Through Security Screening" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 11, pp. 1244-1255, November 2023, doi: 10.1587/transcom.2023EBT0003.
Abstract: Radar-based sensing and concealed weapon detection technologies have been attracting attention as a measure to enhance security screening in public facilities and various venues. For these applications, the security check must be performed without impeding the flow of people, with minimum human effort, and in a non-contact manner. We developed technologies for a high-throughput walk-through security screening called Invisible Sensing (IVS) and implemented them in a prototype system. The IVS system consists of dual planar radar panels facing each other and carries out an inspection based on a multi-region screening approach as a person walks between the panels. Our imaging technology constructs a high-quality radar image that compensates for motion blur caused by a person's walk. Our detection technology takes multi-view projected images across the multiple regions as input to enable real-time whole-body screening. The IVS system runs its functions by pipeline processing to achieve real-time screening operation. This paper presents our IVS system along with these key technologies and demonstrates its empirical performance.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2023EBT0003/_p
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@ARTICLE{e106-b_11_1244,
author={Masayuki ARIYOSHI, Kazumine OGURA, Tatsuya SUMIYA, Nagma S. KHAN, Shingo YAMANOUCHI, Toshiyuki NOMURA, },
journal={IEICE TRANSACTIONS on Communications},
title={Practical Implementation of Motion-Robust Radar Imaging and Whole-Body Weapon Detection for Walk-Through Security Screening},
year={2023},
volume={E106-B},
number={11},
pages={1244-1255},
abstract={Radar-based sensing and concealed weapon detection technologies have been attracting attention as a measure to enhance security screening in public facilities and various venues. For these applications, the security check must be performed without impeding the flow of people, with minimum human effort, and in a non-contact manner. We developed technologies for a high-throughput walk-through security screening called Invisible Sensing (IVS) and implemented them in a prototype system. The IVS system consists of dual planar radar panels facing each other and carries out an inspection based on a multi-region screening approach as a person walks between the panels. Our imaging technology constructs a high-quality radar image that compensates for motion blur caused by a person's walk. Our detection technology takes multi-view projected images across the multiple regions as input to enable real-time whole-body screening. The IVS system runs its functions by pipeline processing to achieve real-time screening operation. This paper presents our IVS system along with these key technologies and demonstrates its empirical performance.},
keywords={},
doi={10.1587/transcom.2023EBT0003},
ISSN={1745-1345},
month={November},}
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TY - JOUR
TI - Practical Implementation of Motion-Robust Radar Imaging and Whole-Body Weapon Detection for Walk-Through Security Screening
T2 - IEICE TRANSACTIONS on Communications
SP - 1244
EP - 1255
AU - Masayuki ARIYOSHI
AU - Kazumine OGURA
AU - Tatsuya SUMIYA
AU - Nagma S. KHAN
AU - Shingo YAMANOUCHI
AU - Toshiyuki NOMURA
PY - 2023
DO - 10.1587/transcom.2023EBT0003
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2023
AB - Radar-based sensing and concealed weapon detection technologies have been attracting attention as a measure to enhance security screening in public facilities and various venues. For these applications, the security check must be performed without impeding the flow of people, with minimum human effort, and in a non-contact manner. We developed technologies for a high-throughput walk-through security screening called Invisible Sensing (IVS) and implemented them in a prototype system. The IVS system consists of dual planar radar panels facing each other and carries out an inspection based on a multi-region screening approach as a person walks between the panels. Our imaging technology constructs a high-quality radar image that compensates for motion blur caused by a person's walk. Our detection technology takes multi-view projected images across the multiple regions as input to enable real-time whole-body screening. The IVS system runs its functions by pipeline processing to achieve real-time screening operation. This paper presents our IVS system along with these key technologies and demonstrates its empirical performance.
ER -