Enel Group, a leading Italian electricity and gas company, works with iMerit for asset inspection of their 1.5 Million miles long electrical distribution network.

Setting up data labeling is not a trivial task. Especially in deep learning, it is perhaps one of the most delicate and critical steps with the strongest potential impact on the final result.

Mario Larcher, Head of Computer Vision, Enel Group

Problem 

Manual inspection of their massive electrical distribution network to identify and classify power grid assets and detect potential issues was inefficient and error-prone, leading to considerable cost implications.

Solution

iMerit’s data experts and annotators worked with images of the electrical network across many data types, including 3D point clouds and videos for asset identification, digital twin maintenance, and worker safety projects.

Results

We helped Enel Group achieve automatic or semi-automatic analysis of its electrical distribution network for cost savings, reduced power outages, and better energy efficiency to extend an improved consumer experience.

 

BOTTOM LINE IMPACT

1.5 Mn Miles

Electrical Network Analyzed

35+

Projects Completed

Improved

Asset Maintenance