<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The article describes a possible way of implementing a neural network in recognizing the shape and position of the products in the production process. The neural network is designed as a multilayer perceptron (MLP), and the whole system is implemented in a form of attachment to robotic arm, where the primary task of neural network is to distinguish a position of product. The neural network is trained like a classifier and outputs are used to control the robot. The advantage of the solution is a high degree of reliability of product positioning under different lighting conditions.</p></abstract>

The article describes a possible way of implementing a neural network in recognizing the shape and position of the products in the production process. The neural network is designed as a multilayer perceptron (MLP), and the whole system is implemented in a form of attachment to robotic arm, where the primary task of neural network is to distinguish a position of product. The neural network is trained like a classifier and outputs are used to control the robot. The advantage of the solution is a high degree of reliability of product positioning under different lighting conditions.

Product Classification Using Neural Network at Industry Robotic Line

Slovak University of Technology in Bratislava

Faculty of Materials Science and Technology in Trnava, Institute of Applied Informatics, Automation and Mechatronics

Research Papers Faculty of Materials Science and Technology Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Product Classification Using Neural Network at Industry Robotic Line"}

The article describes a possible way of implementing a neural network in recognizing the shape and position of the products in the production process. The...

Product Classification Using Neural Network at Industry Robotic Line

Published Online: Dec 16, 2019

Page range: 55 - 63

Received: Aug 27, 2019

Accepted: Sep 24, 2019

DOI: https://doi.org/10.2478/rput-2019-0026

Keywords
Neural network, Deep learning, Detection, Robot

© 2019 Igor Halenár et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Product Classification Using Neural Network at Industry Robotic Line

Published Online: Dec 16, 2019

Page range: 55 - 63

Received: Aug 27, 2019

Accepted: Sep 24, 2019

DOI: https://doi.org/10.2478/rput-2019-0026

KeywordsNeural network, Deep learning, Detection, Robot

© 2019 Igor Halenár et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
Neural network, Deep learning, Detection, Robot