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