BROWSE
Detail
Journal Article
AI 학습모델 및 AI모델 서빙 서버 개발을 통한 생활안전 예방 서비스 신고 이미지 자동분류 시스템 개발에 대한 연구
- Issue Date
- 2023-06
- Citation
- 한국재난정보학회 논문집, v.19, no.2, pp.432-438
- ISSN
- 1976-2208
- Publisher
- 한국재난정보학회
- Language
- Korean
- Type
- Journal Article
- Abstract
- Purpose: The purpose of this study is to enable users to conveniently report risks by automatically classifying risk categories in real time using AI for images reported in the life safety prevention service app. Method: Through a system consisting of a life safety prevention service platform, life safety prevention service app, AI model serving server and sftp server interconnected through the Internet, the reported life safety images are automatically classified in real time, and the AI model used at this time An AI learning algorithm for generation was also developed. Result: Images can be automatically classified by AI processing in real time, making it easier for reporters to report matters related to life safety.Conclusion: The AI image automatic classification system presented in this paper automatically classifies reported images in real time with a classification accuracy of over 90%, enabling reporters to easily report images related to life safety. It is necessary to develop faster and more accurate AI models and improve system processing capacity.
- KSP Keywords
- Automatic Classification System, Life safety, Prevention service, Processing capacity, Real-time, Risk categories, algorithm for generation, classification accuracy, learning algorithm, service platform
This work is distributed under the term of Creative Commons License (CCL)
(CC BY NC)
(CC BY NC)
