Porcelain Insulators

 

 

Electric utilities collect imagery and video to inspect transmission and distribution infrastructure.  Utilities use this information to identify infrastructure defects and prioritize maintenance decisions.  The ability to collect these data is quickly outpacing the ability to analyze it.   Today’s data interpretation solutions rely on human-in-the-loop workflows.  This is time consuming, costly, and inspection quality can be subjective.  It’s likely some of these inspection tasks can be automated by leveraging machine learning techniques and artificial intelligence.

Last Updated On: 
Mon, 03/27/2023 - 18:09
Citation Author(s): 
P. Kulkarni, D. Lewis, J. Renshaw

The early detection of damaged (partially broken) outdoor insulators in primary distribution systems is of paramount importance for continuous electricity supply and public safety. In this dataset, we present different images and videos for computer vision-based research. The dataset comprises images and videos taken from different sources such as a Drone, a DSLR camera, and a mobile phone camera.

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