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 6):
The method for detecting grayscale compensation data of a liquid crystal display panel as claimed in  claim 5 , wherein the flash memory chip is electrically connected to a compensation chip,\n wherein the compensation chip obtains the third grayscale compensation data from the flash memory chip and receives the second grayscale data to compensate the second grayscale data with the third grayscale compensation data so that a target grayscale data is obtained, and the target grayscale data is output to a timing controller.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 86.0
- Lexical Diversity: 2.73684
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15173205', '15158702', '14893079', '15740301', '15185537']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.687571200636531
- 35 USC 102 Novelty (BERT): 0.5027850649788943
- Combined Prediction Score: 0.6690925870707674
- Mean Citation Score: 244.936482
- Max Citation Score: 262.94098
- Similarity Product: 191.7681284928799

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