Display Panel Block Analysis for Face Image Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing display apparatus face recognition techniques using AI algorithms are prone to biased results due to training subject or trainer intentions, and lack internal algorithms or structures for effective face recognition.
Innovation Solution
A display apparatus with integrated components for face recognition, including a driving controller that divides the display panel into blocks, calculates skin color inclusion ratios, determines face regions, and performs image quality processing using equations and face matching data to enhance recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If face recognition is performed using external AI algorithms, then face recognition capability is provided, but recognition accuracy is reduced due to bias from training subject or trainer intentions
Solution Approach 1:
The display apparatus performs face recognition independently using its own driving controller without relying on external AI algorithms. The controller calculates skin color inclusion ratios and determines face regions autonomously, eliminating bias from external training data while maintaining recognition capability
Solution Approach 2:
The patent changes the approach from using pre-trained AI models to calculating skin color inclusion ratios using specific equations (i_cr1, i_cr2, i_cr3, i_cr4) with adjustable parameters (p_aa1-p_aa4, p_bb1-p_bb4, k). This allows the system to adapt to different conditions while maintaining independence
2Productivity
If the display panel is divided into multiple panel blocks for processing, then face region detection efficiency is improved, but processing complexity increases
Solution Approach 1:
The display panel is divided into multiple panel blocks, allowing parallel processing of different regions. The driving controller calculates skin color inclusion ratios for each block independently, improving detection efficiency while managing complexity through modular processing
Solution Approach 2:
Instead of processing the entire display panel uniformly, the system focuses calculations on specific panel blocks that may contain face regions. This partial action approach improves efficiency by avoiding unnecessary calculations in regions without faces
Data Source
AI summary
A display apparatus includes: a display panel including a plurality of pixels; a data driver which applies data voltages to the pixels; a gate driver which applies gate signals to the pixels; and a driving controller which controls the data driver and the gate driver. The driving controller divides the display panel into a plurality of panel blocks, calculates a skin color inclusion ratio of each of the panel blocks based on input image data, determines at least one face region candidate block among the panel blocks based on the skin color inclusion ratio, determines a face region block of the at least one face region candidate block based on the at least one face region candidate block and face matching data, and performs image quality processing on the face region block.


