Real name: 
Dexter Lewis
First Name: 
Dexter
Last Name: 
Lewis

Datasets & Competitions

EPRI Electric Transmission Imagery

The Electric Power Research Institute (EPRI) is building a community to advance utility infrastructure inspection. To jumpstart collaboration EPRI is sharing labeled datasets. These data may support immediate and future research. Advances in automated inspection workflows can benefit society. Future tools may revolutionize traditional workflows and have safety, quality, and efficiency benefits to utilities and consumers. More situational awareness of eclectic utility infrastructure can reduce the likelihood of in-service equipment failures.

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Artificial Intelligence
Electric Utility
Computer Vision
Submitted On: 
Wed, 07/20/2022 - 18:02
Last Updated On: 
Wed, 07/20/2022 - 18:03
Citation Author(s): 
Dexter Lewis, Pratik Kulkarni

EPRI Distribution Inspection Imagery

There is an industry gap for publicly available electric utility infrastructure imagery.  The Electric Power Research Institute (EPRI) is filling this gap to support public and private sector AI innovation.  This dataset consists of ~30,000 images of overhead Distribution infrastructure.  These images have been anonymized, reviewed, and .exif image-data scrubbed.  EPRI intends to label these data to support its own research activities.  As these labels are created, EPRI will periodically update this dataset with those data.

Update: July 2022

Categories:
Artificial Intelligence
Power and Energy
Image Fusion
Computer Vision
Energy
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Insulator Defect Detection

 

 

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.

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Artificial Intelligence
Image Processing
Submitted On: 
Wed, 08/11/2021 - 15:06
Last Updated On: 
Mon, 03/27/2023 - 18:09
Citation Author(s): 
P. Kulkarni, D. Lewis, J. Renshaw