Effectiveness in Preventing the Elopement Using a Face Recognition System for Surveillance Camera Images

Leaving the hospital without permission is an incident that can lead to a violation of patient safety. This study aimed to enhance precision by installing surveillance cameras at two locations: the hospital ward and the entrance. Thirty-five patients admitted to the hospital were registered for face recognition, and face detection was performed. We compared the precision rate between using only the surveillance camera images of the hospital entrance, and when the surveillance camera images of the hospital ward and the entrance were used. The results showed that the precision rate using only the hospital entrance was 18.1%. This lower rate was due to the lack of optimization for the environment. In contrast, the precision rate combining the hospital ward and the entrance reached 81.0%, demonstrating the proposed method's effectiveness in reducing false positives.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250450
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Effectiveness in Preventing the Elopement Using a Face Recognition System for Surveillance Camera Images

Kei Teramoto, Akira Takagi, Satoru Sekine, Hideaki KATO et al.
Studies in health technology and informatics
Face recognition and analysis
article

Effectiveness in Preventing the Elopement Using a Face Recognition System for Surveillance Camera Images

Kei Teramoto, Akira Takagi, Satoru Sekine, Hideaki KATO, Kumiko Shokawa
article en

Abstract

Leaving the hospital without permission is an incident that can lead to a violation of patient safety. This study aimed to enhance precision by installing surveillance cameras at two locations: the hospital ward and the entrance. Thirty-five patients admitted to the hospital were registered for face recognition, and face detection was performed. We compared the precision rate between using only the surveillance camera images of the hospital entrance, and when the surveillance camera images of the hospital ward and the entrance were used. The results showed that the precision rate using only the hospital entrance was 18.1%. This lower rate was due to the lack of optimization for the environment. In contrast, the precision rate combining the hospital ward and the entrance reached 81.0%, demonstrating the proposed method's effectiveness in reducing false positives.

Studies in health technology and informaticsVol. 327
Canon (Japan) (JP), Tottori University Hospital (JP)
Openalex Percentile: Top 75%
Face recognition and analysis
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Effectiveness in Preventing the Elopement Using a Face Recognition System for Surveillance Camera Images — Kei Teramoto, Akira Takagi, et al. · Studies in health technology and informatics (2025) | TGRS Research Map | TGRS