story
The tools already revealed for large scale surveillance are cheaper, more effective, and more robust to outside attack than the mentioned ideas. More importantly, they are already there - there is no rollout cost at all! And up until recently it was also easier to keep the public in the dark...
I do see applications at the places you mention, but for a very different reason - border inspections (coupled with human oversight) are an excellent place for automation where a small amount of effort could lead to a massive increase in throughput per person.
The only downside is that officials who deploy these things will want guarantees on effectiveness, which you can never truly give due to statistics. Couple this with the fact that neural networks are very difficult to tune for false negatives and false positives and it would be a difficult sell.
One alternative would be to use these types of networks as black-box preprocessing, followed by a "tunable" algorithm like logistic regression where you could effectively control the ratio of false positives - a high rate of false positives coupled with human oversight could still lead to a large boost in human performance if most of the border inspection process is uninteresting.
But still there are unions... which is a whole separate issue to itself.