2011 2nd International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering 2011
DOI: 10.1109/icici-bme.2011.6108604
|View full text |Cite
|
Sign up to set email alerts
|

A portable screening system for onboard entry screening at international airports using a microwave radar, reflective photo sensor and thermography

Abstract: We developed a portable screening system designed for onboard entry screening at international airports. The system can identify passengers who are potentially infected with epidemic diseases such as severe acute respiratory syndrome (SARS) or pandemic influenza. With its size being small enough to be placed on airplane tray tables, the system enables entry screening while passengers are onboard. In addition, this automatic system may greatly reduce time and effort required for screening. This system is operat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
14
0

Year Published

2012
2012
2023
2023

Publication Types

Select...
6
1

Relationship

3
4

Authors

Journals

citations
Cited by 12 publications
(14 citation statements)
references
References 9 publications
0
14
0
Order By: Relevance
“…Since training and hyperparameter optimization can be performed in advance on workstations, the most important time to consider is the average classification time. Although, in practice, the classifier will be running on a slow embedded system, the classification times in our experiments were several magnitudes below the time needed for data acquisition, which is in the range of 10 s [9], [10]. Thus, the classification time can be considered as negligible for practical purposes.…”
Section: B Comparing the Classification Algorithmsmentioning
confidence: 92%
See 1 more Smart Citation
“…Since training and hyperparameter optimization can be performed in advance on workstations, the most important time to consider is the average classification time. Although, in practice, the classifier will be running on a slow embedded system, the classification times in our experiments were several magnitudes below the time needed for data acquisition, which is in the range of 10 s [9], [10]. Thus, the classification time can be considered as negligible for practical purposes.…”
Section: B Comparing the Classification Algorithmsmentioning
confidence: 92%
“…The technical details of the infection screening system are provided in our previous papers [9], [10]. The system automatically detects infected individuals within 15 s via a classification method using measured multiple vital-signs (see Fig.…”
Section: A Data Acquisitionmentioning
confidence: 99%
“…Prototype portable on-board screening systems have been successfully invented to capture both normal and infra-red images (Sun et al, 2011). Combining both still images and thermal images from each individual, individual passenger profiles can be created and processed in the CrewTablet for easy tracking.…”
Section: Fundamental Changes To Screeningmentioning
confidence: 99%
“…We have upgraded our previous portable infection screening system by including a pulse oximeter module. The technical details have been reported in previous papers from the viewpoint of medical system engineering [13,14]. The biosensors consist of a thermography to monitor facial temperature (NIPPON AVIONICS, Thermo shot F30, Japan), a 10-GHz respiration radar to determine respiration rate (new JRC, NJR4175, Japan), and a pulse oximeter module to calculate the SpO 2 and heart rate (NONIN Medical, OEM III, USA).…”
Section: An Infection Screening System That Non-invasively Measures Vmentioning
confidence: 99%