News about digitizing infrastructures and automating utility inspection with drones and AI

Latest AI-models added to Hepta’s power line inspection platform uBird

For years, Hepta Airborne has developed and continuously improved its machine learning models in the uBird platform. The machine learning models are designed to ease the burden of grid operators’ inspection and analysis efforts. They allow grid operators to:

  • analyse thousands of images in a matter of minutes
  • improve the quality of inspections
  • find more relevant defects
  • increase the speed of the analysis process
  • and lower the overall cost of inspections

Today, machine learning algorithms are widely used by Hepta’s clients to inspect thousands of power line images from four continents and by constantly growing number of grid operators.

 

New AI-models

Due to the success of the machine learning models performance in power line inspections, new ones are constantly added to uBird. The latest additions are focused on detecting crooked cross-arms from power line images.

Normal cross-arm on a power line pole

Normal cross-arm on a power line pole

Cross-arms are used to fix the overhead line wires securely to the power line pole. The cross-arms get crooked most often either due to large branches or trees falling on lines or by corrosion effects on its structure. Crooked cross-arms might lead to wires coming into contact with each other or with the surrounding vegetation, thus posing both a blackout and a wildfire threat to the grid operator.

Example of acrooked cross-arm on a power line

Example of a crooked cross-arm on a power line

To help grid operators to detect crooked cross-arms two new machine learning models were created – one for normal, well-maintained cross-arms and one for crooked ones. Both models were extensively trained on a dataset with more than 10 000  images. The end result shown in testing for both of the models was exemplary:

  • 95.00% precision rate
  • F-score higher than 94%
  • and 95% recall rate

Yet these are just the first results of machine learning models, that were recently created. As time passes and the number of analysed images grows, the models performance will only become better. We fully expect the new models to become an integral part of analysis toolset in the future.

Should you have any questions about the machine learning models or are interested in applying them to your inspections, feel free to contact Hepta Airborne’s experts!

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Forward-looking grid operators gather at the Hepta Innovation Summit

Last week saw different grid operators gather in Tallinn for the Hepta Innovation Summit, which aimed to encourage experience sharing and discussions about modernisation among DSOs and TSOs. Over the two day event, participants got a chance to hear presentations from both industry experts and innovation leaders and take part in a live demo day, showing the latest drone inspection technology.
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Hepta Airborne's CEO Henri Klemmer talks about creating strategic partnerships and eco-systems at the Energy Tech Summit

The annual Energy Tech Summit conference in Warsaw saw Hepta Airborne's CEO Henri Klemmer share his thoughts about creating strategic partnerships during a workshop hosted by Florian Kolb from Intertrust and Martin Möller from DigiKoo.

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