LCD-Integrated RF Presence Sensing for Device Power Control
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Solution Overview
Problem
Current electronic devices face inefficiencies in transitioning between active and low power modes due to timer-based approaches, leading to suboptimal power conservation and user inconvenience, with existing presence detection methods like facial recognition and biometrics being ineffective or inconvenient.
Innovation Solution
The use of reflectometric detection via radio frequency (RF) signals to determine human presence, allowing for contactless control of electronic device modes, including power management and authentication, by transmitting RF signals through an LCD panel and processing reflected signals for presence and authentication indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If timer-based approach is used to determine when device should enter low power mode, then device can automatically save power, but optimal power conservation is not achieved and user convenience deteriorates
Solution Approach 1:
The patent replaces the mechanical timer-based system with an optical detection system using a camera and image processing algorithms. Instead of relying on fixed time intervals, the system continuously monitors for user presence by detecting facial features or eye movement, enabling dynamic and accurate power management that responds to actual user behavior rather than predetermined timers.
Solution Approach 2:
The system enables the device to automatically detect user presence and absence through image processing, then autonomously transitions between active and low power modes without requiring user intervention. The device serves itself by monitoring its own usage context and making power management decisions based on detected user behavior patterns.
2Loss of energy
If timer value is set to small value to improve power efficiency, then power conservation improves, but device activation time increases and user efficiency deteriorates
Solution Approach 1:
The system performs preliminary detection of user presence using image processing before transitioning from low power mode. By continuously monitoring for facial features or eye movement in advance, the device is already aware of user approach and can begin activation procedures earlier, reducing the perceived activation time while maintaining power efficiency.
Solution Approach 2:
The system uses real-time feedback from image processing to dynamically adjust power state transitions. The camera continuously provides feedback about user presence, and the system responds by adjusting its power state accordingly, creating a closed-loop control system that optimizes both power efficiency and activation response time based on actual user behavior.
3Reliability
If facial recognition is used for user authentication, then security can be improved, but effectiveness deteriorates when user face is not properly positioned
Solution Approach 1:
The system dynamically adjusts its authentication approach based on detected user positioning. Instead of requiring fixed facial positioning, the image processing algorithms can detect facial features from various angles and positions, and adaptively adjust recognition parameters to maintain authentication effectiveness regardless of user orientation or distance from the camera.
Solution Approach 2:
The system uses image processing algorithms as an intermediary between the camera and authentication decision. Rather than directly comparing facial images to stored templates with rigid positioning requirements, the intermediate processing layer can detect facial features, normalize positioning variations, and extract authentication-relevant data that is robust to positioning changes, thereby maintaining security while improving ease of operation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method enables efficient power management by quickly turning off devices when no user is present and turning on when the user returns, while providing secure authentication through cardiac signal signatures, thus improving both power conservation and user experience.
Implementation Method 1
a receive antenna configured to receive a reflected RF signal that comprises a reflection of the RF signal impinged on tissue of the human user
Data Source
AI summary
An electronic device incorporating a liquid crystal display (LCD) screen comprises at least one at least one radio frequency (RF) antenna mounted behind a LCD panel of the LCD screen, and a processor. The RF antenna includes a directional transmit RF antenna that transmits an RF signal through the LCD panel to impinge on a human user, and includes a receive antenna configured to receive a RF signal reflected from tissue of the human user. The processor processes the reflected RF signal to generate a processed signal indicative of presence or absence of the human user, and responsive to the processed signal, controls an operating mode of the electronic device and/or enables control of the device by the human user.