Predicting the Solar Potential of Rooftops using Image Segmentation and Structured Data
Predicting the Solar Potential of Rooftops using Image Segmentation and Structured Data How could we automatically estimate the amount of electricity that solar panels could generate on any building of a country, instantly? It would require to be able to massively...
Estimation of vegetated surfaces with Computer Vision: how we improved and scaled up our model
How we improved our estimation of vegetated surfaces with Computer Vision Here at namR, we’re putting our hard work into building a Digital Twin of the French territory. We aggregate, clean and re-organize a large quantity of data of different formats coming from many...
Merging geospatial data on twin polygons
Merging geospatial data Today we are going to discuss on geospatial data. And to build a rich description of the object, the real challenge is to join these pieces together. But in absence of a clear and coherent name or index, this process can become quite difficult...
Developing a complex computer vision system, a case study: solar panels equipped roofs
To detect all solar panels on the roofs of french buildings, we used aerial imagery and the known outlines of the buildings, through a pipeline consisting of a solar panel outline detector and a filtering algorithm. We took inspiration from the projects revolving...
