한국컴퓨터정보학회:학술대회논문집 (Proceedings of the Korean Society of Computer Information Conference)

한국컴퓨터정보학회 (Korean Society of Computer Information)
권호 표지

AI기반 의류정보를 이용한 비인가 접근감지

Detection of unauthorized person using AI-based clothing information analysis

  • 신성윤 (군산대학교 컴퓨터정보통신공학부) ;
  • 이현창 (원광대학교 디지털콘텐츠공학과)
  • Shin, Seong Yoon (School of Computer and Information Comm. Engineering, Kunsan National University) ;
  • Lee, Hyun Chang (Dept. of Digital Contents Engineering, Wonkwang University)
  • 발행 : 2019.07.10
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초록

Recently, various search techniques using artificial intelligence techniques have been introduced. It is also possible to use the artificial intelligence to grasp customer propensity. Analyzing the clothes that customers usually wear, it is possible to analyze various colors such as favorite colors, patterns, and fashion styles. In this study, we use artificial intelligence technology to create an application that distinguish between adults and children by combining various factors such as shape, type, color and size of human clothes. Through this, it will be possible to utilize it in a living area where children can be protected in advance by grasping the intrusion of unauthorized adults in the living area where children live mainly. In addition, in the future, we can obtain good results to detect stranger adult person if we apply this experimental result to the detection system using clothing information.

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