• Optoelectronics Letters
  • Vol. 15, Issue 2, 151 (2019)
Jian-shuang GUO*, Jian-hua ZHANG, Shao-bo ZHANG, Jia-wei CHEN, and Sheng LIU
Author Affiliations
  • College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China
  • show less
    DOI: 10.1007/s11801-019-8147-9 Cite this Article
    GUO Jian-shuang, ZHANG Jian-hua, ZHANG Shao-bo, CHEN Jia-wei, LIU Sheng. Furniture board segmentation based on multiple sen-sors and integer programming model[J]. Optoelectronics Letters, 2019, 15(2): 151 Copy Citation Text show less

    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 segment-ing board is proposed and a multi-sensor configuration is given. In such a configuration, we include multiple cam-eras and Lidar sensors. The cameras attached on each board are used to collect quick response (QR) code informa-tion, while Lidar sensors can obtain each board's contours information. We then formulate each board's segmenta-tion as the integer programming problem. The experimental results show that our method can achieve a very high segmentation accuracy of 95% on average.
    GUO Jian-shuang, ZHANG Jian-hua, ZHANG Shao-bo, CHEN Jia-wei, LIU Sheng. Furniture board segmentation based on multiple sen-sors and integer programming model[J]. Optoelectronics Letters, 2019, 15(2): 151
    Download Citation