Sure, thanks for clarifying. I agree, an out of box approach would be to use computer vision or custom vision to detect objects and then use the metadata to calculate the surface area. I haven't seen an existing solution using Azure Cognitive services at the moment, so you'd most likely have to use a heuristic approach.
Custom computer vision for surface calculations on digital floor maps
I am working on a project to calculate surface area from digital floor maps. I am currently experimenting with azure cognitive services - Custom computer vision. However I don't know if this is the right track.
If possible I would like to use a existent tool instead of reinventing the wheel. Has anyone experience with this and can provide me with some guidance?
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Hi, thanks for reaching out. We currently don't have a custom model that supports the above scenario.
Thanks for answering @GiftA-MSFT . I understand that there isn't a custom model that supports the above scenario. I was just hoping to get some idea's on how to make it work with custom Vision or any alternative.
For instance I've a gotten a few idea's on how to make it work with custom vision;
- use object detection to recognize the rectangle/square shapes of the floor maps.
- calculate the distance based on the pixels -> leads to surface area ;
This is just a example .. if this is wrong of there is a better alternative I would love to hear about it.