Events from videos

Goal: image processing from monitoring cameras for the identification and automatic characterisation of surface discharge phenomena on high-voltage line insulators

Use case

Video Discharge Extractor

Automatic analysis of footage for diagnostics and predictive maintenance.
Automatic selection within footage of images with features of interest.
Image processing with automatic recognition of objects (insulators) and visual phenomena (electrical discharges).

Video Discharge Extractor (VDE): Algorithms for feature extraction from videos/images of diagnostic systems

A. Maldarella, G. Lami, E. Bionda, C. Tornelli, G. Pirovano and S. L. Chiarello, “Video Discharge Extractor: a Deep Learning and Computer Vision-based Framework for Surface Discharges Recognition on HV Lines Insulators,” 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 2022, pp. 831-836, doi: 10.1109/MELECON53508.2022.9843010.

This work has been financed by the Research Fund for the Italian Electrical System under the Contract Agreement between RSE S.p.A. and the Ministry of Economic Development – General Directorate for the Electricity Market, Renewable Energy and Energy Efficiency, Nuclear Energy in compliance with the Decree of April 16th, 2018