There isn't software that can detect it to any reasonable degree. Computer vision is still in its infancy. At best using real-world data you will probably miss a huge amount of content. And there will also be a huge number of false-positive, with probably at least several out of a hundred normal images being falsely flagged.
The tech just doesn't work. It's really really difficult to get a computer to be able to tell what's in an image.
There isn't software that can detect it to any reasonable degree. Computer vision is still in its infancy. At best using real-world data you will probably miss a huge amount of content. And there will also be a huge number of false-positive, with probably at least several out of a hundred normal images being falsely flagged.
The tech just doesn't work. It's really really difficult to get a computer to be able to tell what's in an image.