본문 바로가기
KERD
논문KCI 등재

승용차용 FRT Bumper 센서 브라켓 공정 및 인공지능을 활용한 자동화 검증 기술 개발

Development of FRT Bumper sensor bracket process for passenger cars and automation verification technology using artificial intelligence

1

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류기계공학

초록

We introduce the technology required todevelop a bracket process for installing and verifying FRT bumper sensors for passenger cars. Establish and demonstrate process automation through actual design and manufaturing. We conduct quality inspection of the production process using artificial intelligence and develop technology to automatically detect good and defective products and increase the reliability of the process

Abstract

We introduce the technology required todevelop a bracket process for installing and verifying FRT bumper sensors for passenger cars. Establish and demonstrate process automation through actual design and manufaturing. We conduct quality inspection of the production process using artificial intelligence and develop technology to automatically detect good and defective products and increase the reliability of the process

참고문헌 (10)

  1. Jeong-Ick Lee, "The development of smart electrical moving system", the korea Society of Mechanical Technology, the 2013 winter con ference paper collection, pp.50~53 (2013)
  2. Hyukjun Na, "Application of data mining for quality control of automobile parts manufactur ing processes", the collection of papers at the 2016 Spring Conference of the Korea Managment Science Association, pp.5395~5417 (2016)
  3. Jang. J. H, "Design characteristics of Robot in flexible manufacturing system", the korea Society of Mechanical Technology, the 2019 autumn conference paper collection, pp.48~ (2019)
  4. Han Min-sik, "Application of reverse design for press process analysis", the korean society of machinery processing,2006 Journal of the Spring Conference, pp.302~306 (2006)
  5. "Yolo"[URL]
  6. "Yolo V8"[URL]
  7. Lee Hyun-soo, "The structure of CNN for image content search", Master, pp.2018
  8. Lee Gye-sung, "A study on the simplification method of machine learning mod els", The journal of the institute of internet, broadcasting and communication, 16(4), pp.147~152 (2016), JIIBC
  9. Jiwoo Kim, "Designing an AI-based video recommendation system to improve accuracy", the korean information and communication association, the Journal of the women’s ICT conference of the korean in formation and communication association, the Journal of the 2020 Women’s ICT Conference, pp.33~35 (2020)
  10. Cho Soo-young, "How to improve deep learn ing network accuracy through data augmenta tion", PHD, pp.2020

관련 논문AI추천

이 간행물의 다른 논문 (31건)