Optoelectronics Letters, Volume. 15, Issue 2, 151(2019)

Furniture board segmentation based on multiple sen-sors and integer programming model

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
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    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.

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    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

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    Paper Information

    Received: Sep. 13, 2018

    Accepted: Oct. 22, 2018

    Published Online: Apr. 16, 2019

    The Author Email: Jian-shuang GUO (534951043@qq.com)

    DOI:10.1007/s11801-019-8147-9

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