23/01/2026
Preventive maintenance across large electricity distribution networks still relies heavily on manual, cycle-based inspections.
🤝 In collaboration with Sadales tīkls, Latvia’s largest electricity distribution system operator, we explored how this process could be supported through a more structured, data-driven approach, without disrupting existing workflows.
As part of a pilot project, Hepta Insights software was used to process aerial RGB imagery, support defect identification, and centralize inspection data into a single digital environment. Even at the pilot stage, aerial perspectives helped reveal defects that are difficult to detect from the ground, while standardized data improved consistency across inspection activities.
The project demonstrated how AI-assisted analysis can complement traditional inspection practices, support safer working conditions, and lay the foundation for more predictive maintenance workflows in the future.
A sincere thank you to Sadales tīkls for the constructive collaboration throughout this pilot project.
👉 Full written case study in the comments
