Eye Detection Service for Display Power Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional data processing systems waste energy when displays remain powered on despite user inactivity, reducing battery life in mobile devices.
Innovation Solution
Implementing a power-saving eye detection service using a camera to determine if a user is looking at the display, automatically powering it off during inactivity and back on when the user resumes attention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If the display is kept powered on for extended periods, then the user can immediately view content when returning to the device, but power consumption increases and battery life decreases
Solution Approach 1:
The system performs preliminary actions by detecting user presence and readiness to interact with the device before actually powering on the display. The eye detection service monitors whether the user is looking at the device, and only powers on the display when the user is detected to be ready to use it, avoiding unnecessary power consumption during periods when the user is not immediately ready to interact.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring user behavior through the camera and eye detection service. The display power state is dynamically adjusted based on real-time feedback about whether the user is looking at or interacting with the device, creating a closed-loop control system that optimizes power consumption based on actual usage conditions.
2Use of energy by moving object
If the display is powered off during user inactivity, then power consumption is reduced, but the user experience may be degraded if the display does not reactivate in time
Solution Approach 1:
The system performs preliminary detection of user presence and intent to interact before the actual need for display activation arises. By monitoring eye movements and device interaction patterns in advance, the system can predict when the user will need the display and reactivate it proactively, ensuring seamless user experience without noticeable delays.
Solution Approach 2:
The display power management system operates autonomously by continuously monitoring user behavior through the camera and eye detection service. The system automatically determines when to power on or off the display based on detected user presence and interaction patterns, without requiring manual user input or configuration, thereby optimizing power consumption while maintaining user convenience.
3Use of energy by moving object
If manual power off settings are implemented, then power consumption is reduced, but the system complexity and user configuration requirements increase
Solution Approach 1:
The eye detection service automatically monitors user presence and device interaction patterns to dynamically control display power state without requiring any manual configuration or user input. The system self-adjusts power consumption based on detected usage conditions, eliminating the need for complex manual settings while achieving optimal power savings.
Solution Approach 2:
The system dynamically changes the power state parameter of the display based on detected user behavior patterns. By continuously monitoring eye movements and interaction frequency, the system adjusts display power consumption in real-time, transitioning between powered on and powered off states based on actual usage needs rather than fixed manual configurations.
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 solution effectively conserves power by ensuring the display is only active when needed, thereby extending battery life and improving power efficiency in mobile devices.
Implementation Method 1
a camera to automatically determine whether a user of the data processing system is watching a display
Data Source
AI summary
In one example embodiment, a device uses a camera and an eye detection service to determine whether a user is looking at a display of the device during periods when the user is not actively interacting with the device. In response to a determination that the user is not looking at the display, the display is automatically powered off. In response to the user's resumption of looking at the display, the display may be automatically powered back on. Other embodiments are described and claimed.