Face Detection Based Screen Brightness Control in Dark Environments
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Solution Overview
Problem
Existing information processing apparatuses struggle to properly control screen brightness in pitch-dark environments, where face detection is not possible, leading to potential loop processing between standard and reduced brightness settings.
Innovation Solution
An information processing apparatus that includes a memory for storing image data and a processor for executing face detection processing, brightness reduction processing, and imaging state determination processing. The processor controls screen brightness based on face detection and imaging state, stopping or continuing brightness reduction processing depending on whether the imaging state changes before or after a predetermined time elapsed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If face detection processing is disabled in dark environments to prevent false detection, then detection reliability is improved, but the system cannot properly control screen brightness when faces are actually detectable
Solution Approach 1:
The system changes the brightness parameter of the display based on detection results. When a face is detected, the display brightness is reduced to save power. This parameter change allows the system to adapt to different usage scenarios while maintaining reliable face detection functionality.
Solution Approach 2:
The system implements a feedback mechanism where face detection results continuously influence display brightness control decisions. The detection unit provides feedback about face presence and orientation, and the control unit adjusts brightness accordingly, creating a closed-loop system that adapts to changing conditions.
2Loss of energy
If screen brightness is reduced based on face detection results, then power consumption is reduced, but loop processing occurs in pitch-dark environments where faces cannot be detected
Solution Approach 1:
The system performs preliminary determination of the imaging environment (dark vs. pitch-dark) before implementing brightness reduction. By assessing whether the environment is merely dark or completely pitch-dark, the system can pre-determine whether face detection should be enabled, preventing loop processing before it occurs.
Solution Approach 2:
The system dynamically adjusts face detection processing based on imaging conditions. In pitch-dark environments where no faces can be detected, the system disables face detection processing to prevent infinite loops. This dynamic adaptation allows the system to maintain stability while still achieving power savings in appropriate conditions.
3Measurement precision
If face detection processing is continuously performed to enable proper brightness control, then brightness control accuracy is improved, but processing load and power consumption increase
Solution Approach 1:
The system performs face detection processing partially - only when imaging conditions permit detection. In pitch-dark environments, face detection is disabled entirely, while in dark environments where faces are detectable, full face detection processing is performed. This partial action approach maintains accuracy where needed while reducing unnecessary processing energy consumption.
Data Source
AI summary
An information processing apparatus performs face detection processing to detect a face area with a face captured therein from an image captured by an imaging unit, brightness reduction processing in which, when the face area is no longer detected from a state where the face area is detected by the face detection processing while the screen brightness of a display unit is controlled to a first screen brightness, the screen brightness is reduced from the first screen brightness to a second screen brightness after first time has elapsed, and imaging state determination processing to determine whether an imaging state is a first imaging state where the imaging unit can capture an image in an image brightness capable of detecting the face area or a second imaging state where the imaging unit cannot capture any image in the image brightness capable of detecting the face area.