인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
The number of missing children is increasing every year, and this is emerging as a social issue. For this, a number of schemes have been proposed to prevent the occurrence of missing children. Most schemes focus on recognizing a certain distance between the guide and the child and detecting devia- tions from this distance. Some studies use GPS-based location information to determine the location of missing children. However, it is also difficult to accurately find the location of a missing child since the GPS signal information does not work properly indoors, or outdoors where there are many obstacles. Meanwhile, the missing child prevention system using artificial intelligence technology is far from prevention as it is a method of finding missing children based on facial recognition of missing children. Therefore, this paper proposes an intelligent missing children prevention system based on high-accuracy location detection using deep neural networks and BLE technology. In order to evaluate the performance of this system, a prototype for proof of concept is developed and experiments are con- ducted by a field test. The experimental results show the proposed scheme has excellent performance and is feasible.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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