earticle

논문검색

Development of Pallet Recognition System using Kinect Camera

초록

영어

This study proposes a new pallet recognition system using Kinect camera. Depth image of Kinect camera is produced from the infrared ray data of random dot type. This system was applied to an automated guided vehicle(AGV) to recognize the pallet in various conditions. A modularized hardware and software of the pallet recognition system was developed. The performance of the developed pallet recognition system was tested through experiments under various environment, and it show good performance.

목차

Abstract
 1. Introduction
 2. Composition of Pallet Recognition System
  2.1. Hardware Development
  2.2. Software Development
 3. Test for Pallet Recognition
  3.1. Environment for Pallet Recognition Test
  3.2. Result of the Test
 4. Conclusion
 Acknowledgements
 References

저자정보

  • Ji-Youn Oh Korea Maritime and Ocean University, 727 Taejong-ro, Yeongdo-Gu, Busan 606-791, South Korea
  • Hyeung-Sik Choi Korea Maritime and Ocean University, 727 Taejong-ro, Yeongdo-Gu, Busan 606-791, South Korea
  • Sung-Hun Jung Korea Maritime and Ocean University, 727 Taejong-ro, Yeongdo-Gu, Busan 606-791, South Korea
  • Hwan-Seong Kim Korea Maritime and Ocean University, 727 Taejong-ro, Yeongdo-Gu, Busan 606-791, South Korea
  • Hee-Young Shin Korea Maritime and Ocean University, 727 Taejong-ro, Yeongdo-Gu, Busan 606-791, South Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.