News about digitizing infrastructures and automating utility inspection with drones and AI
Power line inspection challenges and how to overcome them
Learn what are the most common power line inspection challenges grid operators face and how they are overcome with Hepta Airborne's help.
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.
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. Find out what are the latest AI-models added to the uBird power line inspection platform.
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.
The importance of vegetation management for utility companies
Dangerous and overgrown vegetation can cause serious damage to power grids. Find out how utility companies avoid outages and blackouts with the help of vegetation management and uBird inspection platform
How machine learning models speed up and improve inspections in uBird
Machine learning models are used by Hepta's clients on a daily basis and their performance is an integral part of the uBird platform. Read what are the most significant improvements that stem from the use of Hepta's machine learning models.