A key feature of the system is that it is made up of a large number of tiny imagers. These are small, simple cameras, each directed independently by a MEMS-controlled micro-mirror. Because there is no large lens, Pantoptes can be made flat, unlike other cameras.
A central processor combines the images into a single picture, producing a higher resolution than the individual imagers. The intelligence is in the way that the system identifies areas of interest and concentrates the sub-imagers on the relevant part of the scene. Christensen gives the example of the Panoptes system looking at a building in a field.
“After a first frame or two was collected, the system could identify that certain areas, like the open field, had nothing of interest, whereas other areas, like the license plate of a car parked outside or peering in the windows, had details that were not sufficiently resolved,” he tells Danger Room. “In the next frame, subimagers that had been interrogating the field would be steered to aid in the imaging of the license plate and windows, thereby extracting the additional information.”
A central processor combines the images into a single picture, producing a higher resolution than the individual imagers. The intelligence is in the way that the system identifies areas of interest and concentrates the sub-imagers on the relevant part of the scene. Christensen gives the example of the Panoptes system looking at a building in a field.
“After a first frame or two was collected, the system could identify that certain areas, like the open field, had nothing of interest, whereas other areas, like the license plate of a car parked outside or peering in the windows, had details that were not sufficiently resolved,” he tells Danger Room. “In the next frame, subimagers that had been interrogating the field would be steered to aid in the imaging of the license plate and windows, thereby extracting the additional information.”
"A central processor" seems to be an artifact of traditional thinking. Most likely, the processor will be distributed as well. A memristor-based neural network would work even better here.
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