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Smart Healthcare Access Management System using Iris Recognition

홍채인식을 이용한 스마트 헬스케어 출입관리 시스템

  • 이관희 (주식회사 리즈랩) ;
  • 김지인 (조선대학교 정보통신공학부) ;
  • 권구락 (조선대학교 정보통신공학부)
  • Received : 2023.08.06
  • Accepted : 2023.10.17
  • Published : 2023.10.31

Abstract

Safety accidents and industrial accidents are constantly occurring in existing industrial sites. In addition, the probability of accidents occurring due to physical and mental fatigue of workers is increasing. Accordingly, it is required to introduce systematic management and various systems for the safety of workers. In this paper, by developing an access control system using bio-metric information at industrial sites, we develop efficient health management and access control management functions for workers. Workers are identified through face recognition for access control, and health status is determined through iris recognition. It aims to improve accuracy and develop a more efficient management system by diagnosing signs of health abnormalities through the congestion of the iris and eyes of workers. Finally, the contents of the development consist of an on-site access control system, an access control program for administrators, and a main server system that diagnoses signs of abnormal health of users.

기존의 산업현장에서 안전사고 및 산업재해들이 끊임없이 발생하고 있다. 또한, 근로자의 육체적·정신적 피로로 인해 안전사고가 발생할 확률이 높아지고 있다. 이에 따라, 근로자의 안전을 위해 체계적인 관리 및 다양한 시스템의 도입이 요구되고 있다. 본 논문에서는 산업현장에서 생체정보를 이용한 출입 관리 시스템의 개발로 근로자의 효율적인 건강관리, 출입통제관리 기능 개발을 수행한다. 출입통제를 위해 얼굴인식을 통해 근로자를 확인하고, 건강상태 유무는 홍채인식을 통해 판별한다. 근로자의 홍채 및 눈의 충혈 상태를 통해 건강이상 징후를 진단하여 정확도를 높이고 보다 효율적인 관리 시스템의 개발을 목표로 한다. 최종적으로 개발 내용은 현장 출입관리 시스템, 관리자용 출입통제 프로그램, 사용자 건강이상 징후 진단을 위한 진단하는 메인 서버 시스템으로 구성된다.

Keywords

Acknowledgement

본 과제(결과물)는 교육부와 한국연구재단의 재원으로 지원을 받아 수행된 3단계 산학연협력선도대학 육성사업(LINC 3.0)의 연구결과입니다.

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