엘리베이터 탑승자의 환경정보를 이용한 비상상황 감지 시스템

Abstract

In this paper, we propose an emergency detection system inside the elevator for the passengers. The elevator is structurally isolated from the outside environment. Usually the most serious crimes, such as sexual exploitation and violence may occur inside the elevator. In such situations, there are many ways that message about such situations can be passed to the security office or agency. The proposed system detects a dangerous situation, in order to ensure the safety and the support for the passenger from the elevator. For this purpose, we analyze the three pieces of information that can be obtained from the occupant. First, input image using the camera, next input voice by a microphone and around the occupant input noise, and finally, the analysis of the impulse inside the lift where this situation occurs. First, we use the histogram of gradient (HOG) to identify whether the motion is of the single person or of the group of people with the motion vector. Next, the impulse generated by voice dB and impact sensor determines whether there is an emergency situation or not.