고주파 신호 기반 혼잡도 측정 시스템의 구현
Implementation of a Crowding Measurement System Based on High Frequency Signal
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초록
최근 커피전문점이 급격히 늘어남과 동시에 커피 전문점에서 공부나 작업을 하는 사람들이 많이 나타나게 되었으며, 커피전문점에서는 고객 회전율, 수익 등에 문제로 고객들의 매장 이용에관한 분석이 요구되기 시작하였다. 이러한 분석을 위해 영상 분석, QR 코드 인증, 블루투스 비콘등의 방법들이 제안되었으나, 사생활 침해 문제, 낮은 정확성 등의 문제점이 있어 활용이 쉽지 않다. 따라서 본 연구에서는 이 문제점을 해결하며, 보다 정확한 매장 내 혼잡도 정보를 제공하기위해 고주파 신호 기반 혼잡도 측정 시스템을 제안한다. 고주파 신호는 블루투스 신호를 대치하며, 신호의 전달 범위가 매장 내로 한정되어 정확도를 높일 수 있는 장점이 있다. 제안 시스템의성능 검증을 위해 블루투스 기반 혼잡도 측정과 비교 실험을 진행하였고, 그 결과 제안 방법이보다 높은 정확도를 나타내었다. 즉, 제안 방법은 커피 전문점에서의 혼잡도 정보 제공 및 통계처리에 효과적인 유용한 서비스가 될 것이다.
Abstract
As the number of coffee shops increases, many people are studying or working at coffee shops. Coffee shop operators have been required to analyze customer visits due to customer turnover and profit problems. Methods such as image analysis, QR code authentication, and Bluetooth beacon have been proposed for these statistics and analysis. However, it is difficult to use due to problems such as invasion of privacy and low accuracy. Therefore, in this study, to solve these problem and provide more accurate in-store congestion information, we propose a crowding measurement method of coffee shop using high frequency signal. There is an advantage in that a high frequency signal replaces the Bluetooth signal, and the transmission range of the signal is limited to the store, thereby increasing the accuracy of the method. To verify the performance of the proposed system, we conducted a comparative experiment with a Bluetooth based system, and as a result, the proposed method showed lower misrecognition rate. Thus, the proposed method will be an effective useful service for providing information on crowding at coffee shops and processing statistics.
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