The Waltero Blog

Why hotel engineering teams still walk the building by hand — and what it's quietly costing them.

A new white paper from Waltero presents evidence from two utility deployments — VA SYD in Sweden and EMASESA in Seville — showing how continuous, camera-based monitoring combined with lightweight Vision AI shifts utility operations from scheduled maintenance to condition-based response. Inspection becomes continuous, costs come down, and remote assets stop being a blind spot.

Most of the assets that keep a water or wastewater network running — gullies, inlets, trash fences, pumps, CSOs, outfalls — sit out across the network and get checked when someone has time to drive past. Vision AI changes that, with the heavy intelligence in the cloud and a lighter model at the edge for sites where latency or connectivity demand it. Here's how the architecture works, and why the ROI shows up in smarter truck rolls long before it shows up in prevented failures.

Two utility deployments — VA SYD in Sweden and EMASESA in Seville — show what changes when asset inspection becomes continuous: fewer truck rolls, faster response, and visibility for assets that used to be invisible between visits.