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Optoelectronics Letters

, Volume 15, Issue 2, pp 151–155 | Cite as

Furniture board segmentation based on multiple sensors and integer programming model

  • Jian-shuang Guo (郭建双)Email author
  • Jian-hua Zhang (张剑华)
  • Shao-bo Zhang (张少波)
  • Jia-wei Chen (陈嘉伟)
  • Sheng Liu (刘盛)
Article
  • 4 Downloads

Abstract

In the current furniture production line, the level of automation in the stage of loading and unloading is not high enough. In order to improve its automation, a novel integer programming based method for automatically segmenting board is proposed and a multi-sensor configuration is given. In such a configuration, we include multiple cameras and Lidar sensors. The cameras attached on each board are used to collect quick response (QR) code information, while Lidar sensors can obtain each board’s contours information. We then formulate each board’s segmentation as the integer programming problem. The experimental results show that our method can achieve a very high segmentation accuracy of 95% on average.

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Copyright information

© Tianjin University of Technology and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Jian-shuang Guo (郭建双)
    • 1
    Email author
  • Jian-hua Zhang (张剑华)
    • 1
  • Shao-bo Zhang (张少波)
    • 1
  • Jia-wei Chen (陈嘉伟)
    • 1
  • Sheng Liu (刘盛)
    • 1
  1. 1.College of Computer Science and TechnologyZhejiang University of TechnologyHangzhouChina

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