PATENT CLAIM ANALYSIS

Application Number: 16012769
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["348", "747000"]

Abstract:
A projection system and a method for calibrating display image are provided. The method includes: setting a correction image having identification patterns, and establishing first coordinate information of the identification patterns; using a projection device to project the correction image on a display screen; performing an image capturing operation to the correction image and the display screen to obtain a captured image; calculating second coordinate information of the identification patterns in the captured image, and calculating coordinate translation information according to the first coordinate information and the second coordinate information; calculating boundary information of the display screen according to a plurality of boundary coordinate values of the display screen in the captured image and the coordinate translation information, such that the projection device adjusts a size of a projection image for corresponding to the display screen according to the boundary information.

Claim (Index 19):
The projection system as claimed in  claim 9 , wherein the correction image is stored in the projection device, and the first coordinate information of the identification patterns is stored in the image capturing device.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.7963
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14489480', '14344806', '11632927', '14489485', '13913944']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6635858772045593
- 35 USC 102 Novelty (BERT): 0.4713882996814492
- Combined Prediction Score: 0.6443661194522483
- Mean Citation Score: 184.201972
- Max Citation Score: 198.42027
- Similarity Product: 164.2073884739363

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

Dataset: test