Autonomous steel casting recognition and positioning on the unmanned automatic production line based on binocular vision

Qingquan Xu; Feng Wu; Ruxi Xiang; Jie Zhou; Xiu Yang

doi:10.1117/12.2542688

12 November 2019 Autonomous steel casting recognition and positioning on the unmanned automatic production line based on binocular vision

Qingquan Xu, Feng Wu, Ruxi Xiang, Jie Zhou, Xiu Yang

Author Affiliations +

Proceedings Volume 11197, SPIE Future Sensing Technologies; 111970U (2019) https://doi.org/10.1117/12.2542688
Event: SPIE Future Sensing Technologies, 2019, Tokyo, Japan

Abstract

Modern industrial production technology is developing rapidly in recent decades. More and more traditional manual productions are becoming automatic when new automatic technologies are introduced among which machine vision plays an indispensable role. Aiming at the unmanned automatic production line of special steel castings in Shanghai MengTeng automatic technology co., LTD , in this paper an algorithm to recognize and position the special steel castings autonomously is proposed based on the binocular vision theory. The technologies including the pyramid hierarchical matching and the deep neural network are described in detain. The identification and positioning of special steel castings is realized. Its procedures are described completed. Some experiments are implemented by using manipulator to grasp the steel castings and running the proposed algorithm. It proves that the proposed algorithm achieves satisfactory results.

Citation Download Citation

Qingquan Xu, Feng Wu, Ruxi Xiang, Jie Zhou, and Xiu Yang "Autonomous steel casting recognition and positioning on the unmanned automatic production line based on binocular vision", Proc. SPIE 11197, SPIE Future Sensing Technologies, 111970U (12 November 2019); https://doi.org/10.1117/12.2542688

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