Camera-Based Transmit Power Control for SAR Proximity Detection
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Solution Overview
Problem
Existing electronic devices face challenges in efficiently managing transmit power to comply with specific absorption ratio (SAR) guidelines while minimizing the use of proximity sensors, which consume space and resources.
Innovation Solution
Implementing video processing circuitry to analyze video streams for background motion, detect human proximity, and adjust transmit power levels accordingly, eliminating the need for dedicated proximity sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated proximity sensors are used to detect human proximity for SAR compliance, then transmit power control accuracy is improved, but device complexity and space requirements increase
Solution Approach 1:
The patent combines the proximity detection function with the existing camera system by utilizing the camera sensor to capture video streams for background motion analysis. This merging eliminates the need for dedicated proximity sensors while maintaining human proximity detection capability for SAR compliance.
Solution Approach 2:
The camera system is given a dual function: its traditional imaging function plus a new proximity detection function. By analyzing background motion in video streams, the camera serves as both an imaging device and a proximity sensor, reducing overall device complexity.
2Measurement precision
If dedicated proximity sensors are used to detect human proximity, then transmit power control is improved, but manufacturing cost and component quantity increase
Solution Approach 1:
The patent merges proximity detection functionality into the existing camera system, eliminating the need for additional proximity sensor components. This reduces bill of materials costs and simplifies the manufacturing process while maintaining accurate human proximity detection for transmit power control.
3Device complexity
If video processing circuitry is used for proximity detection, then device space and component quantity are reduced, but processing complexity increases
Solution Approach 1:
The patent extracts the proximity detection task from the main video processing pipeline by specifically analyzing background motion rather than full frame processing. This extraction focuses computational resources on the essential motion detection aspect while ignoring unnecessary visual processing.
Solution Approach 2:
Instead of processing entire video frames for proximity detection, the system performs partial processing by focusing only on background motion analysis. This selective approach reduces computational complexity while maintaining detection accuracy.
Data Source
AI summary
Examples of transmit power controls are described herein. In some examples, an electronic device includes an imaging capturing device to capture a video stream. In some examples, the electronic device includes video processing circuitry. In some examples, the video processing circuitry may measure background motion in the video stream. In some examples, the video processing circuitry may detect human proximity based on the measured background motion. In some examples, the video processing circuitry may control transmit power in response to the human proximity detection.