Classification and recognition method of intelligent storage goods based on visual servo Online publication date: Sun, 17-Sep-2023
by Jinbin Zhao; Liyu Ma; Fei Gao; Shujian Chen
International Journal of Manufacturing Technology and Management (IJMTM), Vol. 37, No. 3/4, 2023
Abstract: This paper proposes an intelligent storage goods classification and recognition method based on visual servo. The camera coordinates are calibrated based on the visual servo system, and the quaternion Gabor filter convolution algorithm is used to extract the characteristic area of intelligent storage goods. The case differentiation algorithm is used to realise the characteristic area classification of intelligent storage goods. The visual servo technology is used to obtain the objective constraints of the intelligent storage goods recognition function, and the greedy heuristic algorithm is used to solve the optimal intelligent storage goods recognition function to realise the intelligent storage goods classification and recognition. The experimental results show that the classification and recognition accuracy of intelligent storage goods can reach 96.3, the classification and recognition accuracy can reach 97.2%, and the efficiency is significantly improved.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Manufacturing Technology and Management (IJMTM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook