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3D 형상의 자동차 도어트림(Door Trim)을 인식 재봉하는 로봇 설계

Design of a Robot for Recognizing and Sewing 3D-Shaped Car Door Trim Lines

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키워드

주제분류과학기술학

초록

국내 봉제산업의 종사자는 50∼60대가 77.7% 이상으로 고 숙련 재봉기술자는 고령화되고 있는 반면에 20∼30대의청년 유입은 없어서 재봉기술자 구인난은 물론 숙련 기술이 필요한 3D 형상의 자동차 도어트림을 재봉하는 생산성에도 큰 문제점이 발생하고 있다. 따라서 본 연구에서는 이러한 문제를 해결하고자 3D 형상의 도어트림 라인을 인식하여 재봉하는 기술을 개발하고 로봇을 활용하여 상용화하는데 문제점을 검증하고자 하였다.

Abstract

Currently, the sewing industry is experiencing a decline in the number of technicians because approximately 77.7% of domestic sewing technicians (primarily those in their 50s and 60s) are retiring, with little to no influx of new technicians in their 20s and 30s. This has led to a continuous decrease in the number of highly experienced sewing technicians besides the challenges in recruiting new technicians. Furthermore, there is a shortage of technicians skilled in sewing complex 3D door trims, resulting in productivity issues. This study addresses these challenges by developing an AI-powered robotic sewing solution for recognizing and stitching intricate 3D door trim lines.

참고문헌 (11)

  1. D. B. Yoo, "An Exploratory Study of the Determinants of Global Sourcing Intention in Korean Clothing Sewing Industry : Focusing on Women’s Knit Wear Production", Asia-Pacific Journal of Business, 14(4), pp.70~ (2023)
  2. "The Industry News : The Industry News" (2022)[URL]
  3. "Apparelnes : Apparelnews" (2023)[URL]
  4. "Yaskawa Europe GmbH : Yaskawa europe" (2019)[URL]
  5. Eiri Ogura, "Automation of 3D sewing of two different shaped parts by robot arm", A collection of papers from the International Conference of the Society of Controlled Robot Systems, 14(4), pp.179~183 (2022)
  6. Lee Ho, "Current Status of Automobile Industry and Forecast to 2024", Industrial Analysis, 126, pp.2~3 (2023)

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