公开(公告)号：US20190220381A1

公开(公告)日：2019-07-18

申请号：US16368562

申请日：2019-03-28

Applicant: INTEL CORPORATION

Inventor： OLEG POGORELIK ,  ALEXANDRA MANEVITCH ,  RAIZY KELLERMAN

IPC: G06F11/30 ,  G06K9/78 ,  G06K9/62 ,  G06F16/51 ,  G06F11/34 ,  G06N20/00

CPC classification number: G06F11/3058 ,  G06F11/3013 ,  G06F11/3089 ,  G06F11/3447 ,  G06F16/51 ,  G06K9/6263 ,  G06K9/78 ,  G06N20/00

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve computing system utilization. An example system includes a visual recognition controller to determine whether an infrared image of the device corresponds to a first utilization state of the device based on a machine-learning model, and generate a report including the first utilization state, and at least one processor to execute one or more actions to adjust operation of the device from the first utilization state to a second utilization state based on the report obtained from the visual recognition controller, the second utilization state corresponding to reduced utilization compared to the first utilization state.

公开(公告)号：US20190325263A1

公开(公告)日：2019-10-24

申请号：US15960280

申请日：2018-04-23

Applicant: Intel Corporation

Inventor： RAIZY KELLERMAN

IPC: G06K9/62 ,  G06T1/20 ,  G06K9/46

Abstract: Embodiments are generally directed to non-maximum suppression of features for object detection. An embodiment of an apparatus includes a central processing unit (CPU); a graphical processing unit (GPU), the GPU being capable of a plurality of processing threads; a memory to store data for object detection, including data for detected features within an image; and an object detection algorithm including a non-maximum suppression element. The object detection algorithm is to provide for non-maximum suppression of features that are detected in an image, including the apparatus to divide the image into grid of cells and to provide parallel processing for each feature according to each of one or more cells the feature is located within.