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TRANSCRIPT
Hi, Welcome to the Strayos Academy. My name is Jon Lewis and I'm going to be talking about how to appropriately collect images, including face images, in order to have a model capable of generating an accurate face profile.
The first step in having a successful flight is making sure the drone is ready to fly. No matter what drone you are using, you will have similar information be presented by their flight app. You'll want to make sure you have multiple satellites locked onto the drone and the drone is ready to be flown.
When beginning the flight, typically the top down images are taken first. Depending on how wide the shot is in terms of the rows, that determines if more than 2 passes of the top of the bench will be required. A typical flight height would be about 100 to 150 feet from point of take off, just make sure the height you choose that no obstacles such as a drill mast will be in your way throughout the flight. You'll want to strive for 70 to 80& overlap of the images. This means that 80% of the previous image is shown in the current image being taken.
Once the top down images of the top of the bench have been taken, it is a good idea to continue the top down images for the floor of the shot as well. This will follow the same format as the top of the bench, 1 to 3 passes will be needed dependent on how much of the floor you want to be shown in your model. The next step is to take angled or oblique photos of the highwall face itself. 1 to 2 passes of the face with images that cover the 1st or first 2 rows of the shot and part of the floor. As we can see from these example images, the top is the best practice while the bottom 2 are common mistakes. Approximately 50 to 60 total images are needed to have a robust model and once all the images are captured, then they can be uploaded to Strayos to begin processing.
I hope this video has been helpful, if you want to find more information or videos like this please navigate to the Strayos website which is strayos.com, the link is in the description. Thank you so much for listening and I’ll see you in the next video!