@article {10.3844/ajbbsp.2024.159.168,
article_type = {journal},
title = {Intelligent Identification and Sorting of Chinese Herbs Recommend a String-Level Predictive Electromechanical System},
author = {Zhang, Wenyi and Wang, Gang and Xu, Xiaofei and Zhu, Junjie and Mao, Keping and Ma, Tao and Li, Zixuan},
volume = {20},
number = {2},
year = {2024},
month = {Jul},
pages = {159-168},
doi = {10.3844/ajbbsp.2024.159.168},
url = {https://thescipub.com/abstract/ajbbsp.2024.159.168},
abstract = {Based on the analysis of a large number of Chinese medicinal materials, a mobile robot visual function research and development experimental domestic chips electromechanical arm-controller, which was constructed using a typical kernel algorithm recommended by Chinese medicinal materials visual recognition, which the cascade Electromechanical Control System was based on iterative learning electromechanical control for multi-joint manipulators. The original and improved YOLOV5 algorithm models were compared to detect and recommend targets in the color recognition and shape recognition vision scene of mobile robots in human-computer interaction. The experimental results show that, on the self-made data set, the improved system can obtain a better average accuracy score and detection speed and meet the requirements of real-time and accuracy, it provides a new reference design scheme for the experimental platform of mobile robot vision recognition},
journal = {American Journal of Biochemistry and Biotechnology},
publisher = {Science Publications}
}