Servo System Control Using Gestures

This paper is devoted to designing a Convolutional Neural Network (CNN) to control a servo system by recognizing gestures. The design will be in Matlab and a Programmable logic controller (PLC). In the first step, the CNN is designed and verified in Matlab. Then the structure of the CNN is exported...

Full description

Saved in:
Bibliographic Details
Published in2022 Cybernetics & Informatics (K&I) pp. 1 - 5
Main Authors Korosi, Ladislav, Kajan, Slavomir, Paulusova, Jana, Stefanak, Peter
Format Conference Proceeding
LanguageEnglish
Published IEEE 11.09.2022
Subjects
classification
Computer languages
Control systems
convolutional neural network
Convolutional neural networks
deep learning
image recognition
industrial control
Mathematical models
PLC
Programmable logic devices
servo system
Servomotors
Task analysis
Online AccessGet full text
DOI10.1109/KI55792.2022.9925973

Cover

More Information
Summary:This paper is devoted to designing a Convolutional Neural Network (CNN) to control a servo system by recognizing gestures. The design will be in Matlab and a Programmable logic controller (PLC). In the first step, the CNN is designed and verified in Matlab. Then the structure of the CNN is exported into PLC, where a general processing algorithm using the imported structure takes place. The trained CNN recognizes gestures and controls a one axis servo system using Motion Function Blocks (MFB). The paper will demonstrate the results with experiments.
DOI:10.1109/KI55792.2022.9925973