To most people, listening to the word “Artificial Intelligence” or “Machine Learning” brings up memories of sci-fi movies they have watched. Some think of robots and some of the terminator. The amazing part is that it’s already here! It’s a sci-fi dream and we are living it. What a great time to be alive!

Though this field looks glossy from this outside, the inner workings of it are a different story. Like any other innovative technology, Machine learning is at its very early stage and much of the innovation is still in progress. The results are that there are numerous challenges and bottlenecks.

Let’s dive deep into a real-world project and see what Machine Learning engineers do to overcome the challenges.

The case: Increasing solar energy adoption

In partnership with the Engie factory and Solar AI, 40 Omdena collaborators worked for 8 weeks on detecting rooftops via satellite images to identify rooftop features that are crucial for solar panel installments. The developed solutions could significantly help to facilitate solar energy adoption by reducing the time and costs of the rooftop solar assessment process. We used satellite imagery of Singapore’s Jurong Island and the main island for this project. All the annotations were done manually using QGIS. Read more details about the project in this informative article by a fellow collaborator.

#machine-learning #renewable-energy #data-science #case-study #computer-vision