Research on fruit picking recognition based on deep learning

Yijing Wu; Xuefen Wan; Jie Zhang; Yi Yang

doi:10.1117/12.2685765

27 November 2023 Research on fruit picking recognition based on deep learning

Yijing Wu, Xuefen Wan, Jie Zhang, Yi Yang

Proceedings Volume 12767, Optoelectronic Imaging and Multimedia Technology X; 127670V (2023) https://doi.org/10.1117/12.2685765
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Conference Poster

Abstract

In order to provide the management staff with information about tourists' picking in agriculture tourism, accurate recognition of tourists' picking behaviours is needed. Firstly, this paper proposes a method to accurately distinguish picking actions from other interfering actions mainly based on the change of joint angles. Secondly, a novel method of picking target determination based on the distance relationship between the wrist and the fruit is proposed for the position relationship between the human hand and the fruit in the picking behaviours. Finally, a method of setting state flags is proposed to avoid misidentification of the picking target due to the failure of fruit target detection. Experiments Show that it is proved that the above methods can accurately identify the picking behaviours.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yijing Wu, Xuefen Wan, Jie Zhang, and Yi Yang "Research on fruit picking recognition based on deep learning", Proc. SPIE 12767, Optoelectronic Imaging and Multimedia Technology X, 127670V (27 November 2023); https://doi.org/10.1117/12.2685765

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