PATENT CLAIM ANALYSIS

Application Number: 15945107
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-09
Patent Classification: ["345", "207000"]

Abstract:
Provided is an OLED display optical compensation method that involves forming photosensitive components on a soft substrate inside a display to detect brightness information of each sub-pixel OLED, and analyzing the brightness information to calculate an optical compensation parameter, so as to adjust emission brightness of each sub-pixel OLED.

Claim (Index 1):
An OLED (Organic Light-Emitting Diode) display, comprising:\n a first soft substrate; a plurality of photosensitive components disposed on the first soft substrate; a second soft substrate disposed on the plurality of photosensitive components; a plurality of thin-film transistors disposed on the second soft substrate; a plurality of OLEDs disposed on the plurality of thin-film transistors and corresponding in position thereto, respectively, to provide an emission brightness; and an optical compensation control module electrically connected to the plurality of photosensitive components and the plurality of OLEDs, wherein the plurality of photosensitive components detects the emission brightness of the plurality of OLEDs, respectively, converts the detected emission brightness into a brightness information, and transmits the brightness information to the optical compensation control module such that the optical compensation control module calculates an optical compensation parameter according to the brightness information and controls the plurality of OLEDs to adjust brightness according to the optical compensation parameter.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 91.0
- Lexical Diversity: 1.44444
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15141600', '15190100', '15543280', '12534811', '10839616']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6532343270293072
- 35 USC 102 Novelty (BERT): 0.4642636707005877
- Combined Prediction Score: 0.6343372613964352
- Mean Citation Score: 206.250284
- Max Citation Score: 213.69164
- Similarity Product: 194.66697312623023

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

Dataset: test