PATENT CLAIM ANALYSIS

Application Number: 15744810
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-05
Patent Classification: ["345", "690000"]

Abstract:
A method for detecting grayscale compensation data of a LCD panel is provided. The method includes obtaining a first grayscale compensation data according tothephotographed screen of the LCD panel in the brightest state. According to a second grayscale value to be photographed, a predetermined grayscale compensation data scaling algorithm, and the first grayscale compensation data, a second grayscale compensation data corresponding to the second grayscale value is calculated and used to compensate a second grayscale data. The display screen of the LCD panel driving by the compensated second grayscale data is then photographed to obtain a third grayscale compensation data. The third grayscale compensation data is the grayscale compensation data of the LCD panel itself corresponding to the second grayscale value. The influence of the brightness difference of the test backlight module is eliminated. The grayscale compensation data of the LCD panel itself is accurately obtained.

Claim (Index 3):
The method for detecting grayscale compensation data of a liquid crystal display panel as claimed in  claim 1 , further comprising:\n a step S 6 , comprising pairing and assembling the liquid crystal display panel with a production backlight module to provide light for the liquid crystal display panel through the production backlight module; and a step S 7 , comprising performing brightness compensation on the second grayscale value through the third grayscale compensation data when the liquid crystal display panel displays the second grayscale value.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 86.0
- Lexical Diversity: 2.73684
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15173205', '15158702', '14893079', '15740301', '15185537']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6626458988786713
- 35 USC 102 Novelty (BERT): 0.4942502334627179
- Combined Prediction Score: 0.645806332337076
- Mean Citation Score: 244.936482
- Max Citation Score: 262.94098
- Similarity Product: 211.1400169958437

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test