An examination of applicability of face recognition sensors in public facilities
Takuji Takemoto, Takashi Ota, Hiroko Oe

TL;DR
This study evaluates the practical use of face recognition sensors in public facilities for collecting footfall data, analyzing their effectiveness and potential for improving facility planning.
Contribution
It demonstrates the deployment and analysis of face recognition sensors in real public spaces, highlighting their usability and potential applications.
Findings
Sensors successfully collected footfall data over three months.
Data analysis revealed insights for facility design and planning.
Practical issues and future potential identified.
Abstract
This study aimed to explore the usability and applicability of face recognition sensors in public spaces to collect customer footfall data, which could then be analysed and evaluated for facility design and planning. Nine OMRON sensors were provided for the project and installed at five locations in a public facility for three months. The project was carried out by a local consortium with the cooperation of local technology-based Small Medium-sized Enterprises (SMEs), business organisations, and a local university. Collected data were analysed to develop a report with diagrams, and reveal issues and potential for practical application in the future.
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Taxonomy
TopicsIoT-based Smart Home Systems · Video Surveillance and Tracking Methods · Face recognition and analysis
