Research on the dynamic characteristics of the sorting mechanism in English translation recognition system

Jinying Xu

doi:10.1117/12.3025690

8 April 2024 Research on the dynamic characteristics of the sorting mechanism in English translation recognition system

Jinying Xu

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130904P (2024) https://doi.org/10.1117/12.3025690
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

In order to improve work efficiency and automation capabilities in the field of intelligent manufacturing, an English translation recognition function was added to the control of sorting robots, and the dynamic characteristics of the executing mechanism were simulated and studied. Diversified training samples can be applied to expand the existing dataset to obtain sufficient low-cost training data. Numerous experiments on different benchmark datasets such as natural scene text and handwritten text have shown that this recognition method significantly improves the performance of the recognizer, especially on small training datasets. The three-dimensional model of the sorting mechanism was established, and the force analysis of the sorting robot body was carried out using the multi-body dynamics simulation software ADAMS to verify the rationality of the structural design. The results indicate that under-recognition guidance, the motion path is relatively smooth, and the maximum load of each joint does not exceed the allowable value. The English code recognition system has high security and reliability, which is not only conducive to improving sorting efficiency but also conducive to the sustainable development of the industry.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jinying Xu "Research on the dynamic characteristics of the sorting mechanism in English translation recognition system", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130904P (8 April 2024); https://doi.org/10.1117/12.3025690

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KEYWORDS

Robots

Education and training

Cameras

Machine vision

Kinematics

Control systems

Artificial intelligence

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