Research on the Robot’s Intelligent Inspection, Its Target Detection Method

Lu Jianhong; Tuyatsetseg Badarch

doi:doi:10.11648/j.ajcst.20220502.19

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Research on the Robot’s Intelligent Inspection, Its Target Detection Method

Lu Jianhong, Tuyatsetseg Badarch

Published in American Journal of Computer Science and Technology (Volume 5, Issue 2)

Received: 5 April 2022 Accepted: 6 May 2022 Published: 24 May 2022

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Abstract

Intelligent inspection robot has the characteristics of programmable, and can be applied to various inspection environments. In general, studies show the present trend is to replace humans with an inspection robot thereby reducing the risks and improving the inspection efficiency. The intelligent inspection robot is based on intelligent technology and has programmability. In this paper, based on the research of intelligent inspection robot technology, we analyze inspection techniques, their algorithms, functions, characteristics and other important parameters. The research mainly focuses on two things: the target detection, methods and improved Adaboost algorithm to improve the accuracy of target detection; the Camshift algorithm which is improved to complete tracking design, timely data acquisition, timely problem discovery and timely solution. The target detection and target tracking are studied and their algorithms are analyzed. We present that a tracking algorithm based on improved Camshift deals with the problems which exist in traditional Camshift algorithm. In addition, we present Meanshift algorithm improves the Camshift algorithm for the whole-process tracking, automation and intelligence level, and efficient tracking. Next, combined with relevant technologies and techniques, the algorithm is improved to complete the target detection design and tracking design, and to solve the problems of inaccurate target detection and untimely detection.

Published in	American Journal of Computer Science and Technology (Volume 5, Issue 2) This article belongs to the Special Issue Advances in Computer Science and Future Technology
DOI	10.11648/j.ajcst.20220502.19
Page(s)	88-95
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Intelligent Inspection Robot, Target Detection, Improved Adaboost Algorithm, Camshift Algorithm

References

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APA Style

Lu Jianhong, Tuyatsetseg Badarch. (2022). Research on the Robot’s Intelligent Inspection, Its Target Detection Method. American Journal of Computer Science and Technology, 5(2), 88-95. https://doi.org/10.11648/j.ajcst.20220502.19

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ACS Style

Lu Jianhong; Tuyatsetseg Badarch. Research on the Robot’s Intelligent Inspection, Its Target Detection Method. Am. J. Comput. Sci. Technol. 2022, 5(2), 88-95. doi: 10.11648/j.ajcst.20220502.19

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AMA Style

Lu Jianhong, Tuyatsetseg Badarch. Research on the Robot’s Intelligent Inspection, Its Target Detection Method. Am J Comput Sci Technol. 2022;5(2):88-95. doi: 10.11648/j.ajcst.20220502.19

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@article{10.11648/j.ajcst.20220502.19,
  author = {Lu Jianhong and Tuyatsetseg Badarch},
  title = {Research on the Robot’s Intelligent Inspection, Its Target Detection Method},
  journal = {American Journal of Computer Science and Technology},
  volume = {5},
  number = {2},
  pages = {88-95},
  doi = {10.11648/j.ajcst.20220502.19},
  url = {https://doi.org/10.11648/j.ajcst.20220502.19},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20220502.19},
  abstract = {Intelligent inspection robot has the characteristics of programmable, and can be applied to various inspection environments. In general, studies show the present trend is to replace humans with an inspection robot thereby reducing the risks and improving the inspection efficiency. The intelligent inspection robot is based on intelligent technology and has programmability. In this paper, based on the research of intelligent inspection robot technology, we analyze inspection techniques, their algorithms, functions, characteristics and other important parameters. The research mainly focuses on two things: the target detection, methods and improved Adaboost algorithm to improve the accuracy of target detection; the Camshift algorithm which is improved to complete tracking design, timely data acquisition, timely problem discovery and timely solution. The target detection and target tracking are studied and their algorithms are analyzed. We present that a tracking algorithm based on improved Camshift deals with the problems which exist in traditional Camshift algorithm. In addition, we present Meanshift algorithm improves the Camshift algorithm for the whole-process tracking, automation and intelligence level, and efficient tracking. Next, combined with relevant technologies and techniques, the algorithm is improved to complete the target detection design and tracking design, and to solve the problems of inaccurate target detection and untimely detection.},
 year = {2022}
}

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TY  - JOUR
T1  - Research on the Robot’s Intelligent Inspection, Its Target Detection Method
AU  - Lu Jianhong
AU  - Tuyatsetseg Badarch
Y1  - 2022/05/24
PY  - 2022
N1  - https://doi.org/10.11648/j.ajcst.20220502.19
DO  - 10.11648/j.ajcst.20220502.19
T2  - American Journal of Computer Science and Technology
JF  - American Journal of Computer Science and Technology
JO  - American Journal of Computer Science and Technology
SP  - 88
EP  - 95
PB  - Science Publishing Group
SN  - 2640-012X
UR  - https://doi.org/10.11648/j.ajcst.20220502.19
AB  - Intelligent inspection robot has the characteristics of programmable, and can be applied to various inspection environments. In general, studies show the present trend is to replace humans with an inspection robot thereby reducing the risks and improving the inspection efficiency. The intelligent inspection robot is based on intelligent technology and has programmability. In this paper, based on the research of intelligent inspection robot technology, we analyze inspection techniques, their algorithms, functions, characteristics and other important parameters. The research mainly focuses on two things: the target detection, methods and improved Adaboost algorithm to improve the accuracy of target detection; the Camshift algorithm which is improved to complete tracking design, timely data acquisition, timely problem discovery and timely solution. The target detection and target tracking are studied and their algorithms are analyzed. We present that a tracking algorithm based on improved Camshift deals with the problems which exist in traditional Camshift algorithm. In addition, we present Meanshift algorithm improves the Camshift algorithm for the whole-process tracking, automation and intelligence level, and efficient tracking. Next, combined with relevant technologies and techniques, the algorithm is improved to complete the target detection design and tracking design, and to solve the problems of inaccurate target detection and untimely detection.
VL  - 5
IS  - 2
ER  -

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Author Information

Lu Jianhong

School of Information Technology and Design, Mongolian National University, Ulaanbaatar, Mongolia
Tuyatsetseg Badarch

Civil Engineering Department, Shandong Jiaotong University, Jinan City, China

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APA Style

Lu Jianhong, Tuyatsetseg Badarch. (2022). Research on the Robot’s Intelligent Inspection, Its Target Detection Method. American Journal of Computer Science and Technology, 5(2), 88-95. https://doi.org/10.11648/j.ajcst.20220502.19

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ACS Style

Lu Jianhong; Tuyatsetseg Badarch. Research on the Robot’s Intelligent Inspection, Its Target Detection Method. Am. J. Comput. Sci. Technol. 2022, 5(2), 88-95. doi: 10.11648/j.ajcst.20220502.19

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AMA Style

Lu Jianhong, Tuyatsetseg Badarch. Research on the Robot’s Intelligent Inspection, Its Target Detection Method. Am J Comput Sci Technol. 2022;5(2):88-95. doi: 10.11648/j.ajcst.20220502.19

Copy | Download

@article{10.11648/j.ajcst.20220502.19,
  author = {Lu Jianhong and Tuyatsetseg Badarch},
  title = {Research on the Robot’s Intelligent Inspection, Its Target Detection Method},
  journal = {American Journal of Computer Science and Technology},
  volume = {5},
  number = {2},
  pages = {88-95},
  doi = {10.11648/j.ajcst.20220502.19},
  url = {https://doi.org/10.11648/j.ajcst.20220502.19},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20220502.19},
  abstract = {Intelligent inspection robot has the characteristics of programmable, and can be applied to various inspection environments. In general, studies show the present trend is to replace humans with an inspection robot thereby reducing the risks and improving the inspection efficiency. The intelligent inspection robot is based on intelligent technology and has programmability. In this paper, based on the research of intelligent inspection robot technology, we analyze inspection techniques, their algorithms, functions, characteristics and other important parameters. The research mainly focuses on two things: the target detection, methods and improved Adaboost algorithm to improve the accuracy of target detection; the Camshift algorithm which is improved to complete tracking design, timely data acquisition, timely problem discovery and timely solution. The target detection and target tracking are studied and their algorithms are analyzed. We present that a tracking algorithm based on improved Camshift deals with the problems which exist in traditional Camshift algorithm. In addition, we present Meanshift algorithm improves the Camshift algorithm for the whole-process tracking, automation and intelligence level, and efficient tracking. Next, combined with relevant technologies and techniques, the algorithm is improved to complete the target detection design and tracking design, and to solve the problems of inaccurate target detection and untimely detection.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Research on the Robot’s Intelligent Inspection, Its Target Detection Method
AU  - Lu Jianhong
AU  - Tuyatsetseg Badarch
Y1  - 2022/05/24
PY  - 2022
N1  - https://doi.org/10.11648/j.ajcst.20220502.19
DO  - 10.11648/j.ajcst.20220502.19
T2  - American Journal of Computer Science and Technology
JF  - American Journal of Computer Science and Technology
JO  - American Journal of Computer Science and Technology
SP  - 88
EP  - 95
PB  - Science Publishing Group
SN  - 2640-012X
UR  - https://doi.org/10.11648/j.ajcst.20220502.19
AB  - Intelligent inspection robot has the characteristics of programmable, and can be applied to various inspection environments. In general, studies show the present trend is to replace humans with an inspection robot thereby reducing the risks and improving the inspection efficiency. The intelligent inspection robot is based on intelligent technology and has programmability. In this paper, based on the research of intelligent inspection robot technology, we analyze inspection techniques, their algorithms, functions, characteristics and other important parameters. The research mainly focuses on two things: the target detection, methods and improved Adaboost algorithm to improve the accuracy of target detection; the Camshift algorithm which is improved to complete tracking design, timely data acquisition, timely problem discovery and timely solution. The target detection and target tracking are studied and their algorithms are analyzed. We present that a tracking algorithm based on improved Camshift deals with the problems which exist in traditional Camshift algorithm. In addition, we present Meanshift algorithm improves the Camshift algorithm for the whole-process tracking, automation and intelligence level, and efficient tracking. Next, combined with relevant technologies and techniques, the algorithm is improved to complete the target detection design and tracking design, and to solve the problems of inaccurate target detection and untimely detection.
VL  - 5
IS  - 2
ER  -

Copy | Download