Re:Sony Builds AI into a CMOS Image Sensor
by m463 on Saturday May 16, 2020 @05:41AM
(#23201980)
answer is: it depends.
If it's doing new things like running inference (say, recognizing things using a machine learning model) it might take more power.
But sometimes it could use machine learning to replace previous functions and do it better with less power.
one example I can think of - most cameras have some sort of "motion detect" function. If machine learning could recognize people or cars or whatever is "interesting" better it might give fewer false positives, or transfer data less often. It might even use less power.
On the other hand, if it could detect people, and then further detect WHO they were, it might take more power.
If it's doing new things like running inference (say, recognizing things using a machine learning model) it might take more power.
But sometimes it could use machine learning to replace previous functions and do it better with less power.
one example I can think of - most cameras have some sort of "motion detect" function. If machine learning could recognize people or cars or whatever is "interesting" better it might give fewer false positives, or transfer data less often. It might even use less power.
On the other hand, if it could detect people, and then further detect WHO they were, it might take more power.