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Robotic Manipulator Software and Hardware Development Using Recognition Algorithms

The enterprises digitalization determines the development trends of the industrial sector. There is a need to reduce the percent of human participation in processes associated with conveyor production, which requires the high-tech solutions integration. Due to the lack of quality control on the asse...

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मुख्य लेखकों: Martirosyan, K. V., Мартиросян, К. В.
स्वरूप: Статья
भाषा:English
प्रकाशित: 2024
विषय:
ऑनलाइन पहुंच:https://dspace.ncfu.ru/handle/123456789/27484
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spelling ir-123456789-274842024-04-22T14:35:39Z Robotic Manipulator Software and Hardware Development Using Recognition Algorithms Martirosyan, K. V. Мартиросян, К. В. Arduino Statistics Automated sorting system Computer vision Data collection and analysis Defect detection Image classification Neural networks Product quality control Robotics in manufacturing The enterprises digitalization determines the development trends of the industrial sector. There is a need to reduce the percent of human participation in processes associated with conveyor production, which requires the high-tech solutions integration. Due to the lack of quality control on the assembly line, enterprises produce a large percentage of defective products. The article discusses a possible solution to the problem of image processing for monitoring defects in products moving along a conveyor belt. The use of neural network technologies allows us to identify defects in production in real time, and the use of a robotic arm allows us to immediately remove such products from the assembly line. As a result of the research, it is planned to implement a software and hardware complex of a robotic manipulator using computer vision technologies that can distinguish objects and mechanically influence them. 2024-04-22T14:34:15Z 2024-04-22T14:34:15Z 2024 Статья Borovkov, G.S., Martirosyan, K.V., Protasov, Y.A. Robotic Manipulator Software and Hardware Development Using Recognition Algorithms // Proceedings of the 2024 Conference of Young Researchers in Electrical and Electronic Engineering, ElCon 2024. - 2024. - pp. 335-338. - DOI: 10.1109/ElCon61730.2024.10468466 https://dspace.ncfu.ru/handle/123456789/27484 en Proceedings of the 2024 Conference of Young Researchers in Electrical and Electronic Engineering, ElCon 2024 application/pdf
institution СКФУ
collection Репозиторий
language English
topic Arduino
Statistics
Automated sorting system
Computer vision
Data collection and analysis
Defect detection
Image classification
Neural networks
Product quality control
Robotics in manufacturing
spellingShingle Arduino
Statistics
Automated sorting system
Computer vision
Data collection and analysis
Defect detection
Image classification
Neural networks
Product quality control
Robotics in manufacturing
Martirosyan, K. V.
Мартиросян, К. В.
Robotic Manipulator Software and Hardware Development Using Recognition Algorithms
description The enterprises digitalization determines the development trends of the industrial sector. There is a need to reduce the percent of human participation in processes associated with conveyor production, which requires the high-tech solutions integration. Due to the lack of quality control on the assembly line, enterprises produce a large percentage of defective products. The article discusses a possible solution to the problem of image processing for monitoring defects in products moving along a conveyor belt. The use of neural network technologies allows us to identify defects in production in real time, and the use of a robotic arm allows us to immediately remove such products from the assembly line. As a result of the research, it is planned to implement a software and hardware complex of a robotic manipulator using computer vision technologies that can distinguish objects and mechanically influence them.
format Статья
author Martirosyan, K. V.
Мартиросян, К. В.
author_facet Martirosyan, K. V.
Мартиросян, К. В.
author_sort Martirosyan, K. V.
title Robotic Manipulator Software and Hardware Development Using Recognition Algorithms
title_short Robotic Manipulator Software and Hardware Development Using Recognition Algorithms
title_full Robotic Manipulator Software and Hardware Development Using Recognition Algorithms
title_fullStr Robotic Manipulator Software and Hardware Development Using Recognition Algorithms
title_full_unstemmed Robotic Manipulator Software and Hardware Development Using Recognition Algorithms
title_sort robotic manipulator software and hardware development using recognition algorithms
publishDate 2024
url https://dspace.ncfu.ru/handle/123456789/27484
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