Application Research of Substation Power Inspection Robot Based on Image Recognition Technology

Zeyu Li

2024

Abstract

With the continuous development of the economy, substation intelligent inspection robot is widely used. Currently, the substation inspection robot has problems such as low accuracy and poor pointer accuracy in recognition technology. Therefore, this paper takes image recognition technology as the breakthrough point in instrument recognition, aiming to explore the application of instrument recognition in power inspection robot and analyze the factors affecting the image recognition of inspection robot. At the same time, this paper summarizes and explores the advantages and disadvantages of image recognition technology in application. This paper concluded that the traditional recognition technology algorithm needs the support of prior information in the recognition to be able to accurately identify and sensitive to the data quality, while in the noise environment, it will be seriously disturbed and the generalization ability is weak. The image recognition algorithm has high accuracy and fast speed in identifying small images. Faster Region-CNN(RCNN) can accurately identify multiple targets and save time. Through continuous improvement, the You Only Look Once(YOLO) algorithm has high accuracy and strong anti-interference in single target recognition. In the future, the development of image recognition technology in various fields of instrument recognition can be more accurate.

Paper Citation

in Harvard Style

Li Z. (2024). Application Research of Substation Power Inspection Robot Based on Image Recognition Technology. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 589-593. DOI: 10.5220/0012866500004547

in Bibtex Style

@conference{icdse24,
author={Zeyu Li},
title={Application Research of Substation Power Inspection Robot Based on Image Recognition Technology},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={589-593},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012866500004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Application Research of Substation Power Inspection Robot Based on Image Recognition Technology
SN - 978-989-758-690-3
AU - Li Z.
PY - 2024
SP - 589
EP - 593
DO - 10.5220/0012866500004547
PB - SciTePress