인공지능 학습용 데이터의 개인정보 비식별화 자동화 도구 개발 연구 - 영상데이터기반 -

Research on the development of automated tools to de-identify personal information of data for AI learning - Based on video data -

초록

Recently, de-identification of personal information, which has been a long-cherished desire of the data-based industry, was revised and specified in August 2020. It became the foundation for activating data called crude oil[2] in the fourth industrial era in the industrial field. However, some people are concerned about the infringement of the basic rights of the data subject[3]. Accordingly, a development study was conducted on the Batch De-Identification Tool, a personal information de-identification automation tool. In this study, first, we developed an image labeling tool to label human faces (eyes, nose, mouth) and car license plates of various resolutions to build data for training. Second, an object recognition model was trained to run the object recognition module to perform de-identification of personal information. The automated personal information de-identification tool developed as a result of this research shows the possibility of proactively eliminating privacy violations through online services. These results suggest possibilities for data-based industries to maximize the value of data while balancing privacy and utilization.

키워드

Data for AI training; Auto Labeling; De-identification; Face Recognition; License plate recognition
제목
인공지능 학습용 데이터의 개인정보 비식별화 자동화 도구 개발 연구 - 영상데이터기반 -
제목 (타언어)
Research on the development of automated tools to de-identify personal information of data for AI learning - Based on video data -
저자
이현주; 이승엽; 전병훈
DOI
10.23023/JPT.2023.11.3.056
발행일
2023-06
저널명
Journal of Platform Technology
권
11
호
3
페이지
56 ~ 67