Unlike human vision, computer vision is not as malleable and flexible. It is trained on the basis of algorithms, therefore, if any error occurs, it’s not as quick to adapts and lacks human adaptability. Instead, it would need to be trained. I believe that in order to translate our physical world for computer vision and algorithms, we must map out their particular characteristics which make them stand out. Almost similar to how we would explain to a child (or even a visual of a child’s painting) reveals the most identifying aspects of particularities in our physical world. Since computer vision has certain limitations and require algorithm training, you would need to extensively train the computers to read what you want it to read in extreme detail. In addition, you would want to make sure it makes no errors especially since surveillance and privacy are extremely sensitive topics in the digital world.