In collaboration with the industrial department at EES - Clemessy the teams have developed their own automatic anomaly detection tool.
After a learning period, the software is able to automatically recognize the faults, identify the type thereof and to locate the photovoltaic panels concerned.
The first validation tests of the algorithm resulted in 100% detection.
