In a word
An innovative and efficient AI system has been developed to automate the quality-control of solar panels.
EDF Renouvelables has risen to the challenge of combining digitisation, rationalisation and energy transition.
And the result is DeteCtor. Through the use of algorithms and the application of artificial intelligence to image processing, DeteCtor outperforms the human eye and brain. It assesses the quality of solar plants more accurately, more quickly and more cost-effectively.
Designed to be used as a benchmark by the Group’s operating and maintenance subsidiaries, it is a big step towards digitisation of the solar-plant quality-control process. To date, it is the only system that uses artificial intelligence whilst conducting a two-tier assessment: photovoltaic cells and modules. It is able to detect faults with a precision of 98.4%.
The system assesses the condition of solar panels in operation and prior to installation on site, hence the significant operational and financial benefits for the Group.
The PV DeteCtor team is now preparing for the large-scale manufacture and roll-out of this system.
Why is this a game changer ?
- Precision with which the system classifies faults on PV panels.
- EDF Renouvelables subsidiaries already have the system. The aim is now to roll it out more widely.
- 8 seconds
- The time currently required to process one module as against 10 minutes for the human brain/eye (60 times faster than the human).
- A strong contribution to the EDF Group’s strategy
- A digital and technological innovation is being used to support successful completion of the energy transition.