But most importantly, uh, you can augment these data with your own images, your own videos, taken by drones, taken by helicopter, or what other, any other way you capture, uh, images from your equipment and your assets, and then be able to put all these together in a power BI model and allow you to visualize this data. So that’s it, I’m going to share my screen, and I’m going to show you that a quick dashboard that we put together. So in this case, um, what I put together is a way for you to filter, uh, the different, uh, anomalies that were detected the main type of phenomena anomalies. And as you can see, you can click on the different, uh, anomalies and then the data, uh, or the images in assets that were affected by that type of anomaly, uh, will also, uh, filter. You can do, uh, also filtering by date range. So if you’re interested on, um, a normally use detected within a period of time, you can select that, and you can also navigate your, um, asset, um, assets by asset categories or any other type of, uh, grouping. In this case, we have, for example, towers, uh, towers of, uh, uh, 25 feet, 220 kilo-volts, and we can, uh, quickly, uh, narrow down to what we’re looking at. And here we are seeing a particular asset in this case that, uh, tower one, uh, would you say 220 kilo-volt tower that, uh, has some rust damage in one of its crossbeams? Uh, we can see where it is located. Uh, we can expand this, uh, map and we can see in zoom in using, uh, Bing maps or Google maps, and be able to see where that asset is located. Uh, we’re going to do a little bit more of a geographical type of analysis in the next, um, uh, report, uh, but for now, uh, just wanted to show really quick in this dashboard that you can quickly, um, visualize your data and identify, for example, your hot spots.