In this paper, we present a case study of developing MVIS (Machine Vision Inspection System) designed for exterior quality inspection of stamping dies used in the production of automotive exterior components in a small to medium-sized factory. While the primary processes within the factory, including machining, transportation, and loading, have been automated using PLCs, CNC machines, and robots, the final quality inspection process still relies on manual labor. We implement the MVIS with general- purpose industrial cameras and Python-based open-source libraries and frameworks for rapid and low-cost development. The MVIS can play a major role on improving throughput and lead time of stamping dies. Furthermore, the processed inspection images can be leveraged for future process monitoring and improvement by applying deep learning techniques.

1. 서 론
2. 홀 가공 공정 소개 및 문제 정의
3. 시스템 요구사항 및 설계
    3.1 시스템 요구사항
    3.2 시스템 하드웨어 구성
    3.3 시스템 소프트웨어 구성
    3.4 데이터베이스 설계
4. MVIS 구현
    4.1 MVIS 하드웨어 시제품
    4.2 MVIS 작동 절차
    4.3 MVIS 기능 및 성능 검증
5. 결 론
Acknowledgement
References

• 윤협상(대구가톨릭대학교 소프트웨어융합학과) | Hyoup-Sang Yoon (Department of Software Convergence, Daegu Catholic University) Corresponding author