LED Deformity Detection Using LabVIEW Builder

랩뷰 비전 빌더를 이용한 LED 결함 검출 시스템

  • Xi, Wang (Electronics and Information Department, Chonbuk National University) ;
  • Yoo, Sung-Goo (Electronics and Information Department, Chonbuk National University) ;
  • Chong, Kil-To (Control and Instrumentation Department, Chonbuk National University) ;
  • Vista IV, Felipe P. (Electronics and Information Department, Chonbuk National University)
  • ;
  • 유성구 (전북대학교 전자정보공학부) ;
  • 정길도 (전북대학교 제어계측공학과) ;
  • Published : 2009.09.25

Abstract

Deformity detection in a Light Emitting Diode (LED) is an important aspect for improving its quality. These LED deformities can be checked through several methods. This paper details the automatic deformity detection inspection system of a LED using the LabVIEW Builder 3.6 software. This software has a graphical user interface which makes it easy to observe and modify the behavior of its element. The LabVIEWs essential elements are also presented and explained aside from its image acquisition system. Details on how to build an inspection system and how to implement vision inspection algorithm which mainly consists of edge detection, geometry point location, and distance measurement are included in this paper.

LED와 같은 소형 제품의 불량검색은 제품의 질을 향상 시키는 것만 아니라 생산성 향상에서 중요한 역할을 한다. 본 연구에서는 LED에 발생하는 여러 가지 불량을 자동으로 검사하는 시스템을 구성하였다. LABVIEW Builder를 사용하여 그래픽 인터페이스 상에서 LED의 불량을 검출을 자동판단하며, 사용자가 쉽게 사용 가능하도록 설계하였다. 1394 카메라를 통해 영상을 획득하고 Vision Builder의 각 영상처리 요소를 적용하였다. 에지탐색, 기하학 위치 설정, 거리측정 등의 영상처리 알고리즘을 조합하여 색과 크기가 다른 다양한 LED의 불량을 검출하는 알고리즘을 설계하였다.

Keywords

References

  1. MireiAkiko, AkiraMasayuki, NorikoSatoko, ToshitakaYutakaNakaya2, Masatakeand Yohsuke 'Development of a new water sterilization device with a 365nm UV-LED', Medical and Biological Engineering and Computing, Volume 45,number 12,1997.12
  2. DanielEricand Thomas, 'Light-emitting diodes as a light source for photosynthesis', Photosynthesis Research, Volume 39,number 1,1994.1
  3. Yan Hongfan, Huang Jijin Lu Weiming, 'The Shape detection and recognition system',Computer Applications Software,1996
  4. Xiangxiu Huang, Ketian Li, Jian Liu, Jianqi Liu, Jizhao Weng, 'Image Inspecting System of Positioning Accuracy of the Die Bonder', Electronic Packaging Technology, 2007. ICEPT 2007. 14-17
  5. Seong-Min Kim, Young-Choon Lee, and Seong-Cheol Lee, 'Vision Based Automatic Inspection System for Nuts Welded on the Support Hinge', SICE-ICASE International Joint Conference 2006. 18-21
  6. Filiberto Lopez Larios, 'A Robot-vision System for Autonomous Vehicle Navigation with Fuzzy-logic Control using Lab-View', CERMA 2007 , 25-28 Sept. 2007 Page(s):295 – 302
  7. Thomas Klinger, 'Image Processing with LabVIEW and IMAQ Vision,' Prentice Hall
  8. Rafael C.Gonzalez, Richard E.Woods, Steven L.Eddins, 'Digital Image Processing Using Matlab'
  9. National Instruments 'NI Vision Builder for Automated Inspection Tutorial'