Find out how customer-specific AI models help Hepta Airborne's customers to detect more relevant defects in overhead power lines.

Recently Hepta's efforts, diligent work and delivered results were recognised by Enefit Connect, as they named Hepta Airborne an exemplary service provider.

Machine learning models are created to recognize patterns and find specific details in huge datasets. For example, a machine learning model can help you find every photo containing wristwatches, from all of the photos you have taken in your life. But before you can employ a machine learning model, you will first need to create a machine learning algorithm.

Drone data analysis helps power grid operators to detect defects that would be otherwise hidden from the naked eye. While traditional, on-foot inspection teams depend on what they see from the ground, drones enable inspection teams to both get a closer look at the power poles and use different sensors for data collection.

Hepta Airborne has been working with YellowScan LiDARs for years and has used them in multiple different countries with great results. Their high point density and advanced accuracy and precision have made YellowScan the LiDAR industry flagship. As collecting the highest quality of data during our inspections is paramount for Hepta, we have used YellowScan products extensively in our operations.

There are more than 60 million kilometres of power lines in the world and thousands of distribution and transmission network operators who have to maintain and service those lines. It is not an easy task, nor one where the experiences would be similar to all parties. While the operating logic and goals are shared by all operators, the challenges differ.