Reduce power by frame skipping
In an example, an apparatus comprises logic, at least partially comprising hardware logic, to receive an input from one or more detectors proximate a display to present an output from a graphics pipeline, determine that a user is not interacting with the display, and in response to a determination that the user is not interacting with the display, to reduce a frame rendering rate of the graphics pipeline. Other embodiments are also disclosed and claimed.
1. An apparatus comprising:
processor circuitry coupled to a memory, the processor circuitry to:
receive an input from a camera communicatively coupled to the processor circuitry;
determine, based on the input, lack of interaction with an object approaching the apparatus, wherein the input includes an image input representing the object, wherein whether the object is within a predetermined distance of the apparatus is determined based on a proximity indication; and
upon determining the lack of interaction, terminate graphics workload on a first set of processing resources;
receive a first indication or a second indication, wherein the first indication to indicate that the object approaching the apparatus is within a predetermined distance of the apparatus; and
in response to the first indication, process the graphics workload on a second set of processing resources to reduce a frame rendering rate of a graphics pipeline communicatively coupled to a display, or in response to a second indication that the object is not within the predetermine distance of the apparatus, continue to process the graphics workload on the first set of processing resources.
2. The apparatus of claim 1 , wherein the processor circuitry is further to:
determine whether the input of the camera includes a human input, and in response to the input not being the human input, process the graphics workload on the second set of processing resources;
convert image data from the camera to a histogram, wherein the image data relates to and represents the object; and
compare the histogram to preconfigured histogram data in a local memory.
3. The apparatus of claim 1 , wherein the processor circuitry is further to:
determine whether the input of the camera includes the human input, and in response to the input being the human input activate at least one face-recognition module;
convert the image data from the camera to the histogram, wherein the image data relates to and represents the object; and
compare the histogram to preconfigured histogram data in the local memory.
4. The apparatus of claim 1 , wherein the processor circuitry is further to:
determine whether the input includes an image of a face interacting with the display, and in response the image not including the face interacting with the display, process the graphics workload on the second set of processing resources; and
in response to the image including the face interacting with the display, process the graphics workload on the first set of processing resources at the first frame rate to maintain a full frame rendering rate of the graphics pipeline.
5. The apparatus of claim 4 , wherein the processor circuitry is further to:
determine whether the face is that of an authorized user, and in response to the face not being that of the authorized user, terminate frame rendering of the graphics pipeline, wherein the processor circuitry includes graphics processor circuitry coupled to application processor circuitry.
6. A method comprising
receiving, by a processor of a computing device, an input from a camera communicatively coupled to the computing device;
determining, based on the input, lack of interaction with an object approaching the computing device, wherein the input includes an image input representing the object, wherein whether the object is within a predetermined distance of the computing device is determined based on a proximity indication; and
upon determining the lack of interaction, terminating graphics workload on a first set of processing resources;
receiving a first indication or a second indication, wherein the first indication to indicate that the object approaching the apparatus is within a predetermined distance of the apparatus; and
in response to the first indication, processing the graphics workload on a second set of processing resources to reduce a frame rendering rate of a graphics pipeline communicatively coupled to a display, or in response to a second indication that the object is not within the predetermine distance of the apparatus, continuing to process the graphics workload on the first set of processing resources.
7. The method of claim 6 , further comprising:
determining whether the input of the camera includes a human input, and in response to the input not being the human input, process the graphics workload on the second set of processing resources;
converting image data from the camera to a histogram, wherein the image data relates to and represents the object; and
comparing the histogram to preconfigured histogram data in a local memory.
8. The method of claim 6 , further comprising:
determining whether the input of the camera includes the human input, and in response to the input being the human input activate at least one face-recognition module;
converting the image data from the camera to the histogram, wherein the image data relates to and represents the object; and
comparing the histogram to preconfigured histogram data in the local memory.
9. The method of claim 6 , further comprising:
determining whether the input includes an image of a face interacting with the display, and in response the image not including the face interacting with the display, process the graphics workload on the second set of processing resources; and
in response to the image including the face interacting with the display, processing the graphics workload on the first set of processing resources at the first frame rate to maintain a full frame rendering rate of the graphics pipeline.
10. The method of claim 9 , further comprising:
determining whether the face is that of an authorized user, and in response to the face not being that of the authorized user, terminate frame rendering of the graphics pipeline, wherein the processor includes a graphics processor coupled to an application processor.
11. The computer-readable medium of claim 6 , wherein the operations further comprise:
determining whether the face is that of an authorized user, and in response to the face not being that of the authorized user, terminate frame rendering of the graphics pipeline, wherein the processor includes a graphics processor coupled to an application processor.
12. At least one computer-readable medium having stored thereon instructions which, when executed, cause a computing device to perform operations comprising:
receiving an input from a camera communicatively coupled to the computing device;
determining, based on the input, lack of interaction with an object approaching the computing device, wherein the input includes an image input representing the object, wherein whether the object is within a predetermined distance of the computing device is determined based on a proximity indication;
upon determining the lack of interaction, terminating graphics workload on a first set of processing resources;
receiving a first indication or a second indication, wherein the first indication to indicate that the object approaching the apparatus is within a predetermined distance of the apparatus; and
in response to the first indication, processing the graphics workload on a second set of processing resources to reduce a frame rendering rate of a graphics pipeline communicatively coupled to a display, or in response to a second indication that the object is not within the predetermine distance of the apparatus, continuing to process the graphics workload on the first set of processing resources.
13. The computer-readable medium of claim 12 , wherein the operations further comprise:
determining whether the input of the camera includes a human input, and in response to the input not being the human input, process the graphics workload on the second set of processing resources;
converting image data from the camera to a histogram, wherein the image data relates to and represents the object; and
comparing the histogram to preconfigured histogram data in a local memory.
14. The computer-readable medium of claim 12 , wherein the operations further comprise:
determining whether the input of the camera includes the human input, and in response to the input being the human input activate at least one face-recognition module;
converting the image data from the camera to the histogram, wherein the image data relates to and represents the object; and
comparing the histogram to preconfigured histogram data in the local memory.
15. The computer-readable medium of claim 12 , wherein the operations further comprise:
determining whether the input includes an image of a face interacting with the display, and in response the image not including the face interacting with the display, process the graphics workload on the second set of processing resources; and
in response to the image including the face interacting with the display, processing the graphics workload on the first set of processing resources at the first frame rate to maintain a full frame rendering rate of the graphics pipeline.