  Solar energy has the potential to become the backbone energy source for the
world. Utility scale solar power plants (more than 50 MW) could have more than
100K individual solar modules and be spread over more than 200 acres of land.
Traditionally methods of monitoring each module become too costly in the
utility scale. We demonstrate an alternative using the recent advances in deep
learning to automatically analyze drone footage. We show that this can be a
quick and reliable alternative. We show that it can save huge amounts of power
and the impact the developing world hugely.
