CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 10605 > Article
Paper
15 November 2017 Research on installation quality inspection system of high voltage customer metering device based on image recognition
Bei He, Fu-li Yang, Xue-dan Tao, Shi-liang Chang, Kang Wu
Author Affiliations +
Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 1060521 (2017) https://doi.org/10.1117/12.2292655
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China
Abstract
With the rapid development of the scale of the power grid, the site construction and the operations environment is more widespread and more complex. The installation work of the high-voltage customer metering device is heavy, which is not standardized. In addition, managers supervise the site construction progress only through the person in charge of each work phrase. It is inefficient and difficult to control the multi-team and multi-unit cross work. Therefore, it is necessary to establish a scientific system to detect the quality of installation and management practices to standardize installation work of the metering device. Based on the research of image recognition and target detection system, this paper presents a high-voltage customer metering device installation quality inspection system based on digital image processing, image feature extraction and SVM classification decision. The experimental results show that the proposed scheme is feasible. And it can be used to accurately extract the metering components in the image, which can be also accurately and quickly classified. Our method is of great significance for the implementation and monitoring of the power system in installation and specification
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Bei He, Fu-li Yang, Xue-dan Tao, Shi-liang Chang, and Kang Wu "Research on installation quality inspection system of high voltage customer metering device based on image recognition", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 1060521 (15 November 2017); https://doi.org/10.1117/12.2292655
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image quality
Inspection
Classification systems
Image classification
Quality systems
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top