Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
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Design for Safety System get On or Off the Kindergarten Bus using User Authentication based on Deep-learning

딥러닝 기반의 사용자인증을 활용한 어린이 버스에서 안전한 승차 및 하차 시스템 설계

  • Mun, Hyung-Jin (Dept. of Information and Communication Engineering, Sungkyul University)
  • 문형진 (성결대학교 정보통신공학과)
  • Received : 2020.04.05
  • Accepted : 2020.05.20
  • Published : 2020.05.28
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Abstract

Recently, many safety accidents involving children shuttle buses take place. Without a teacher for help, a safety accident occurs when the driver can't see a child who is getting off in the blind spot of both frontside and backside. A deep learning-based smart mirror allows user authentication and provides various services. Especially, It can be a role of helper for children, and prevent accidents that can occur when drivers or assistant teachers do not see them. User authentication is carried out with children's face registered in advance. Safety accidents can be prevented by an approximate sensor and a camera in frontside and backside of the bus. This study suggests a way of checking out whether children are missed in the process of getting in and out of the bus, designs a system that reduce blind spots in the front and back of the vehicle, and builds a safety system that provide various services using GPS.

최근 어린이 차량의 승하차 과정에서 어린이 안전사고가 발생한다. 차량 인솔 교사가 없는 경우 버스에서 하차하지 않은 어린이의 질식사나 차량 전후방의 사각지대의 어린이 안전사고가 빈번하게 발생한다. 딥러닝 기반의 얼굴인식기술을 스마트 미러에 적용하여 사용자인증의 활용시 안전사고 방지를 위한 서비스가 가능하다. 스마트미러는 어린이를 위한 도우미 역할이 가능하고, 운전기사나 선생님이 미처 발견하지 못해 발생 가능할 사고를 방지할 수 있다. 어린이의 얼굴을 사전에 등록하여 어린이의 승하차시에 사용자인증을 수행하여 누락되지 않고, 버스의 전후방에 근접센서 및 카메라를 통해 안전사고를 미연에 방지할 수 있다. 본 연구는 어린이의 버스 승하차 과정에서 누락여부를 확인하고, 차량 전후방의 사각지대를 줄일 수 있는 시스템을 설계하고, GPS 정보를 활용하여 다양한 서비스가 가능한 안전시스템을 제안한다.

Keywords

References

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