Machine vision and object recognition using neural networks

Machine vision and object recognition using neural networks

Oleg N. Mikhalev
PhD in Technical Sciences, tel.: +7(977)622-53-32, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0003-1223-486X

Alexander S. Yanyushkin
Doctor of Technical Science, Professor, I.N. Ulianov Chuvash State University, 15, Moskovsky pr., Cheboksary, Chuvash Republic, 428015, Russia, tel.: +7(908)302-53-52, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0003-1969-7840

Received February 6, 2022.

Abstract
Computer vision is becoming one of the important areas of automation of various human activities. Technical systems today are endowed with the ability to see, and along with the use of neural networks, they are also endowed with the ability to act intelligently. Thus, they are able to see and make the right decisions and actions faster and more accurately than a person. The article discusses the possibility of using machine vision and object recognition technology for industrial automation, describes a convolutional neural network and an object detection algorithm.

Key words
Machine vision, artificial intelligence, convolutional neural network, object recognition, automation.

DOI
10.31776/RTCJ.10204

Bibliographic description
Mikhalev, O. and Yanyushkin, A., 2022. Machine vision and object recognition using neural networks. Robotics and Technical Cybernetics, 10(2), pp.113-120.

UDC identifier:
004.93'1

References 

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