Hey! Thanks guys for your comments! I'm the writer of the article (Evarest). Just a bit of an update in the mean while :) Our AI team is now busy writing a bi

Hey! Thanks guys for your comments! I'm the writer of the article (Evarest). Just a bit of an update in the mean while :) Our AI team is now busy writing a bit more detail on the actual AI part of the project. The project used: Random Forested Height Data Deep Learning Models We trained on the entire dataset of 60.000+ elements, but did pre-processing on the data. I am not placed to answer detailed questions on the AI part, but we will update the article soon with more details. Note that this is not a perfect result, nor that we claim to be all-knowing or have all the answers. This is a result from a hackathon, which involved working in suboptimal conditions under heavy time constraints. As for the AR part, we did not have access to AR helmets. We are aware that not all the data that we showed would work on an AR helmet (currently). However, this tech is totally feasible in the short to medium term. Also, it is completely feasible on tablet or similar. The concept of the hackathon was to show the potential of these technologies, and to integrate the AR and AI, which I find we succeeded in.