Research on Picking Identification and Positioning System Based on IOT

Authors

  • Li Biqing School of Information and Communication Engineering, Hezhou University, Hezhou Guangxi 542899, China
  • Zheng Shiyong Wuhan University, Wuhan 430070, China
  • Qiu Ming Department of Computer and Information Sciences, Guangxi College Of Education, Nanning Guangxi 530023, China

DOI:

https://doi.org/10.3991/ijoe.v14i07.8988

Keywords:

picking robot, vision system, target fruit, positioning, IOT

Abstract


The key and necessary condition for accurate picking are to identify and locate the target fruit accurately. This paper focuses on the development of picking robot, mainly through two aspects: software and hardware. Moreover, it mainly consists of the binocular vision system and the camera calibration model. Based on these two core components, it can complete the function of identification and positioning. The results show that it can accurately locate the target location in the aspect of recognition function. What is more, its error is no more than 8mm, and its picking rate is over 96%. It shows high precision and efficiency, which plays a decisive role in the realization of picking automation.

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Published

2018-07-27

How to Cite

Biqing, L., Shiyong, Z., & Ming, Q. (2018). Research on Picking Identification and Positioning System Based on IOT. International Journal of Online and Biomedical Engineering (iJOE), 14(07), pp. 149–160. https://doi.org/10.3991/ijoe.v14i07.8988

Issue

Vol. 14 No. 07 (2018)

Section

Papers