Not only recognition, but also video quality adjustments. A bank surveillance system often has to archive months of video so police can go back to try to find o

Not only recognition, but also video quality adjustments. A bank surveillance system often has to archive months of video so police can go back to try to find out if the robbers had been there before to plan their crime. A smart AI surveillance system might have 4k cameras, but not save the video in 4k format. Instead, everytime a new face appears, it can use the maximum resolution to take a profile photo of the face for archival purposes and to calculate facial recognition. If integrated into the banks software, it could match the faces to associated accounts by noting what account was looked up while the new face was at a tellers window. If a robbery is detected through behavioral analysis or gun recognition, then the recording system would switch from 720p @ 15 fps (for example) to 4k @ 60 fps. It could also not just alert the police automatically, but could quickly pull up the associated account information, clips of previous visits discovered through the facial recognition, and send that to the police or have it ready for their viewing.