Recently, due to the aging of workers and the weakening of the labor base in the automobile industry, research on quality inspection methods through ICT(Information and Communication Technology) convergence is being actively conducted. A lot of research has already been done on the development of an automated system for quality inspection in the manufacturing process using image processing. However, there is a limit to detecting defects occurring in the automotive sunroof sealer application process, which is the subject of this study, only by image processing using a general camera. To solve this problem, this paper proposes a system construction method that collects image information using a infrared thermal imaging camera for the sunroof sealer application process and detects possible product defects based on the SVM(Support Vector Machine) algorithm. The proposed system construction method was actually tested and applied to auto parts makers equipped with the sunroof sealer application process, and as a result, the superiority, reliability, and field applicability of the proposed method were proven.

Abstract
1. 서 론
2. 선루프 구조와 영상데이터 수집 방법
3. 제안하는 SVM 알고리즘
    3.1 검사영역 검출
    3.2 온도정보 추출
    3.3 결함특성수치 샘플링
    3.4 SVM 학습
4. SVM기반 품질검사 평가 방법 및 결과
    4.1 알고리즘 평가 방법 및 과정
    4.2 알고리즘 평가 결과
5. 맺음말 및 향후 연구방향
6. References

• 양희종(주식회사 아이티엔제이) | Hee-Jong Yang (ITNJ, Inc.)
• 장길상(울산대학교 경영대학 경영정보학과) | Gil-Sang Jang (Dept. of Management Information Systems, University of Ulsan) Corresponding Author