PATENT CLAIM ANALYSIS

Application Number: 16202196
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["345", "419000"]

Abstract:
A method for generating an augmented reality module by an apparatus is described. Processing circuitry of the apparatus obtains preset third party software development interface information, the third party software development interface information being uniformly encapsulated with an AR core engine and an AR rendering engine, and a system parameter and pose information that are associated with the AR core engine being passed into the AR rendering engine. The processing circuitry generates, according to the third party software development interface information and a document configured corresponding to the third party software development interface information, an AR module of a mobile client, the correspondingly configured document comprising interface use information of the AR core engine and the AR rendering engine.

Claim (Index 3):
The method according to  claim 2 , wherein the receiving a login instruction, and logging in to a preset AR management platform further comprises:\n receiving, by the processing circuitry, an AR effect adjustment instruction input based on the AR management platform; and generating, by the processing circuitry, according to the AR effect adjustment instruction, an adjusted AR rendering effect by using a real-time simulation of a pre-configured 3D rendering engine, and uploading adjusted rendering parameter information to the third party AR background service system to store and manage the adjusted rendering parameter information.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 98.0
- Lexical Diversity: 2.22807
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15889964', '15768500', '15090888', '15792611', '10778709']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6591442560943493
- 35 USC 102 Novelty (BERT): 0.488769077501655
- Combined Prediction Score: 0.6421067382350799
- Mean Citation Score: 175.24462400000004
- Max Citation Score: 185.95326
- Similarity Product: 125.76085275475144

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