Sure it can. The problem is to validate that e.g. the net really knows geometry, and not that it is just working for problems similar to the ones in the training. Unless the training can be validated, i.e. formally proven that after some specific training the net "knows" covering all the cases, you'll have to complement neural nets with classic computer vision, no matter how good you think your model is.