Greetings everyone, I've started working on a project for defect detection and I would like to know if Vuforia and its object tracking tools are capable of accomplishing this. So far I was just testing it with a binary case. I would like to know if, for example, a cube is perfectly tracked, it will to return a "positive" output but if I remove a corner from it or deform it in any way it would return a "negative" output(it still recognizes the object but its not completely the object it was looking for). I dont know if you can get the % of data points that are getting matched with the object scanned...
I can somehow achieve this using a trained neural network model, but since this is just a prototype I'd really be happy if vuforia could make this process easier.
Thank you, have a great day.
Hello,
Hello,
I don't think that this is a good use case for Vuforia.
Thank you for the answer, but
Thank you for the answer, but is there any way to get some kind of how many data points are being matched by the object that is being scanned? For example if I put a finger on a scanned object, it will still detect it.