– Stéphane DODÉ, Project Manager, image recognition by AI, Enedis
Historically, inspection has been mostly a manual procedure involving aerial photographs taken by subcontractors from helicopters. For Enedis, which operates the largest power distribution network in Europe, inspecting the grid means analyzing up to 36 million pictures per year (in case of a fully automatic shooting process). The process is time consuming, costly, and inaccurate.
Our solution ranked as the #1 performing system for defect detection, both in terms of accuracy and speed. The expertise of the Subject Matter Experts was gradually captured and transferred from human to machine thanks to the annotated pictures.
For the largest DSO in Europe, these improvements represent a huge opportunity to rapidly enhance inspection processes and reduce costs.
Our customer success team ensures that our software has maximum impact and implementation across our customer base. For this reason, we have designed a 3-step customer engagement journey where we work together to understand your needs and design a customized solution for you.