Deep learning based system to electric distribution network inspection

F. Fambrini Sr.; Y. Iano; Abel Rodriguez Duenas; R. R. A. Ambrosio; D. G. Caetano; Arthur Rangel

doi:10.1117/12.2573984

12 June 2020 Deep learning based system to electric distribution network inspection

F. Fambrini Sr., Y. Iano, Abel Rodriguez Duenas, R. R. A. Ambrosio, D. G. Caetano, Arthur Rangel

Proceedings Volume 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020); 1151914 (2020) https://doi.org/10.1117/12.2573984
Event: Twelfth International Conference on Digital Image Processing, 2020, Osaka, Japan

Abstract

In this paper, the authors discuss the results of the IA based on deep learning to improve the productivity of preventive thermographic inspections of the electrical network when compared to manual methods of analysis. The goal of this process is to use computer to capture and recognize images of hot spots from the distribution powergrid network during car’s inspection deslocation. In order to that, a special vehicle was assembled. Initially the vehicle was equipped with eight cameras to proceed inspection in both side of the road and covers the front view as well. This solution results in the capability to inspect hundreds of miles of power distribution lines without the need to stop the vehicle and without the need for a human operator.

Citation Download Citation

F. Fambrini Sr., Y. Iano, Abel Rodriguez Duenas, R. R. A. Ambrosio, D. G. Caetano, and Arthur Rangel "Deep learning based system to electric distribution network inspection", Proc. SPIE 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020), 1151914 (12 June 2020); https://doi.org/10.1117/12.2573984

ACCESS THE FULL ARTICLE

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