Amazon Technologies, Inc.

Microsoft Technology Licensing, LLC

Venkatesh Balasubramanian

Vaughn Todd Arnold

Xiaoling Xu

Derek E Gladding

Sunil Kumar Vemula

Smitha L Rapaka

Cesar Maldonado

Processor-based systems employing configurable local frequency throttling management to manage power demand and consumption, and related methods. For example, such processor-based systems may include a processor and other power circuitry to control power to the processor. The processor includes a clock control circuit that is configured generate a clock signal(s) at a designated frequency to clock a processor core(s) in the processor at a desired operating frequency(ies). The clock control circuit is configured to dynamically throttle (i.e., limit and/or reduce) the frequency(ies) of a clock signal(s) clocking the processor in response to a frequency throttle event that may be an unexpected event. Reducing power demand may be important to ensure that the processor can continue to operate under interrupted or reduced power supply conditions. It may be faster to throttle the operating frequency of a processor than to throttle the operating voltage of power supplied to the processor.

Processor-based system employing configurable local frequency throttling management to manage power demand and consumption, and related methods

Subject matter disclosed herein relates to arrangements and techniques that provide for identifying objects within an image such as the face position of a user of a portable electronic device. An application specific integrated circuit (ASIC) is configured to locate objects within images. The ASIC includes an image node configured to process an image and a search node configured to search the image for an object in the image. The ASIC also includes an ensemble node configured to confirm the presence of the object in the image. The ensemble node progressively compares, using computational engines that include accumulators, the pixel values of a template with pixel values of a region of interest in the image to create comparison result values.

Detecting objects in multiple images using integral images

Subject matter disclosed herein relates to arrangements and techniques that provide for identifying objects within an image such as the face position of a user of a portable electronic device. An application specific integrated circuit (ASIC) is configured to locate objects within images. The ASIC includes an image node configured to process an image and a search node configured to search the image for an object in the image. The ASIC also includes an ensemble node configured to confirm the presence of the object in the image. The ensemble node compares the pixel values of a template with pixel values of a region of interest in the image to create comparison result values and normalize the comparison result values.

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San Jose, CA, United States of America

Venkatesh Balasubramanian