THE CHALLENGE

How to maintain an up-to-date inventory of assets distributed across complex geographies. The gap between available information and on-site reality can compromise the operation of the entire grid.
Automatic high-voltage asset inventory using artificial intelligence and LiDAR.

Inventory errors in high-voltage assets.

Limited manual inspection across large-scale areas.

Vegetation and avifauna risks.

THE SOLUTION

Your inventory updated with Mailuna

Computer Vision

Mailuna combines artificial intelligence models with LiDAR point cloud processing to identify and detect grid assets. It generates an automatic inventory, detecting errors and providing a reliable foundation for asset management and updates.

Predictive Maintenance

It enables the early identification of anomalies and supports predictive maintenance strategies. By analyzing geometries, safety distances to surrounding elements and vegetation, it becomes an essential tool for prioritizing actions before they turn into incidents that affect the power supply.

Updated Inventory

The solution operates autonomously on existing infrastructure, enabling fast deployment with minimal operational disruption. The generated results can be delivered in different formats, either through custom reports or integrations with corporate platforms, databases, and APIs.