PATENT CLAIM ANALYSIS

Application Number: 15759510
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-03
Patent Classification: ["345", "633000"]

Abstract:
The present invention relates to an augmented reality system and implementation method for a dental surgery. In the augmented reality system and implementation method for a dental surgery of the present invention, an image convergence step, an interface step and an image projection step are performed. In the image convergence step, a common image obtained by photographing the face of a patient and a transmission image corresponding to the common image are collected, and the common image is mapped to the transmission image in a 3D image in which the common image and the transmission image overlap and registered with a server.

Claim (Index 9):
The augmented reality system of  claim 7 , wherein the augmented reality processing unit comprises:\n a camera generating a facial image by photographing a face of a patient in real time; an authentication unit authenticating the patient by comparing the facial image with the common image; a user interface outputting the facial image, common image, transmission image and 3D image by matching the images to the face of the patient in real time when the authentication is completed; and a projection unit projecting the transmission image matched in real time onto the face part of the patient.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 90.0
- Lexical Diversity: 2.36957
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15129750', '15007010', '15713839', '15384034', '15699273']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6952122900080541
- 35 USC 102 Novelty (BERT): 0.4822712981198586
- Combined Prediction Score: 0.6739181908192345
- Mean Citation Score: 186.514248
- Max Citation Score: 188.67926
- Similarity Product: 134.9828933342552

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