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.
In order to accelerate defect identification, increase detection accuracy, reduce costs, and improve the end-to-end inspection process, Enedis launched an “Automated Image Analysis System” challenge. eSmart Systems was one of the four leading companies chosen to participate in the challenge.
The objectives of the challenge were: first, to test the feasibility and maturity of AI-enabled technologies and how they can improve the whole inspection process in terms of efficiency and speed. Second, to identify potential future partners who could assist Enedis in the yearly inspection of 100,000 km of overhead lines.