Display Virtual Light for Facial Recognition
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Solution Overview
Problem
Facial recognition software on electronic devices struggles with poor image quality in low light conditions, leading to inaccurate user authentication due to insufficient ambient lighting, glare, or back-lighting, which affects camera performance and security applications.
Innovation Solution
A system and method that temporarily converts a device's display into a 'virtual light' by changing its pixels to white or specific frequencies and increasing brightness to provide sufficient illumination for facial recognition, automatically triggered when image quality falls below a threshold or during failed authentication attempts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the display is used as a light source to illuminate the user's face, then image quality for facial recognition is improved, but the display cannot simultaneously display video information
Solution Approach 1:
The display is divided into two functional zones: a first region that displays video information and a second region that provides illumination to the user's face. This segmentation allows the display to simultaneously serve both display and lighting functions without interfering with each other.
Solution Approach 2:
The display device is designed to perform multiple functions: it can display video information in the first region and provide illumination in the second region. This multi-functionality resolves the contradiction by allowing the same device to serve both display and lighting purposes.
2Measurement precision
If the display brightness is increased to provide sufficient illumination, then facial recognition accuracy is improved, but energy consumption increases
Solution Approach 1:
The display alternates between displaying video information and providing illumination based on the operational context. The system periodically switches between these modes, activating the illumination function only when facial recognition is needed, thereby reducing overall energy consumption while maintaining recognition accuracy when required.
Solution Approach 2:
Instead of illuminating the entire display area, only the second region of the display is activated for illumination purposes. This localized illumination reduces energy consumption compared to illuminating the entire display, while still providing sufficient light for facial recognition in the user's face area.
3Adaptability or versatility
If the display is converted to provide illumination, then lighting functionality is added, but the display's primary display function is compromised
Solution Approach 1:
The display is segmented into distinct functional regions: the first region maintains video display capability while the second region provides illumination. This segmentation ensures that the primary display function is preserved in the first region while adding lighting functionality in the second region, thus not compromising overall 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
Ensures fast and accurate user recognition and continuous security by enhancing image quality in low light environments, allowing facial recognition software to function effectively even without external light sources, with minimal disruption to user experience.
Implementation Method 1
changing its pixels to white or specific frequencies and increasing brightness to provide sufficient illumination
Data Source
AI summary
A video lighting system (100) for use with a personal computer or other electronic device (103) includes a display (105) that is used in connection with a microprocessor running facial recognition software that is used to prevent unauthorized access to the personal computer (103). A camera (107) is used for providing images to the facial recognition software where the display operates in a first mode for displaying images to a user and in a second mode for illuminating the user's face for detection by the camera (107).