PATENT CLAIM ANALYSIS

Application Number: 16137892
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["345", "633000"]

Abstract:
An augmented reality (AR) service clustering a plurality of markers for mapping an AR object by a device into at least one group and determining a representative marker of the clustered group, and preferentially searching for markers included in a cluster of the representative marker when a scene recognized by the device corresponds to the representative marker, is provided. An AR service generating an AR object based on data received from a user while a scene recognized by a device is displayed on a screen of the device and determining the recognized scene as a marker of the AR object is also provided. An AR service clustering a previously obtained plurality of pieces of content based on a predetermined reference and generating an AR object based on the plurality of clustered pieces of content is further provided.

Claim (Index 15):
The device of  claim 13 , wherein the processor, when executing the one or more instructions, further cause the device to perform at least one operation to: correct the marker based on the position of the user and the direction of the device included in the marker correction information, and compare the corrected scene with the second scene.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 97.0
- Lexical Diversity: 2.32258
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14744595', '15784524', '13487513', '13063724', '14079814']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6747169346893586
- 35 USC 102 Novelty (BERT): 0.5033684969279093
- Combined Prediction Score: 0.6575820909132136
- Mean Citation Score: 209.577964
- Max Citation Score: 215.31139
- Similarity Product: 131.94240956985593

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

Dataset: test