상세 보기
- Kim, Changgyun;
- Kim, Seungwon;
- Kwon, Se Jin;
- Lee, Taemin
SCOPUS
0초록
Fair competition has become a core value in sports However, the foundation of trust in sports is shaking as doping cases increase Doping is the act of athletes using prohibited drugs Among the drugs, it is easy to classify whether or not these drugs are prohibited drugs among the pills, but as the number of drugs increases, there is inevitably a limit to human ability In this study, AI based pill images are analyzed to identify prohibited drugs A model that automatically classifies drugs was produced using oral drug images Using the dataset provided by AI Hub, a model was produced by learning 160 056 images of 500 oral drugs By applying the CNN model and the SIFT algorithm, a model was produced to analyze and classify external characteristics such as size, color, and shape of a drug Finally, this model had a high classification accuracy of 96 5 © 2025 IEEE.
- 제목
- Development of Classification Model for Identifying denied Pill: Using SIFT and CNN
- 저자
- Kim, Changgyun; Kim, Seungwon; Kwon, Se Jin; Lee, Taemin
- 발행일
- 2025
- 유형
- Conference paper
- 저널명
- 2025 IEEE International Conference on Big Data (BigData)
- 호
- 2025