PATENT CLAIM ANALYSIS

Application Number: 15920936
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["382", "103000"]

Abstract:
A system, method, and apparatus to detect bio-mechanical geometry in a scene using machine vision. The invention provides accurate and dynamic data collection using machine learning and vision coupled with augmented reality to continually improve the process with each experience. It does not rely upon external sensors or manual input.

Claim (Index 6):
The computerized method of  claim 5 , further comprising:\n mapping an index of the neural network output representing the position of the one or more target objects to the plurality of image frames.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 90.0
- Lexical Diversity: 1.22222
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14513497', '14733472', '10755946', '15449614', '14844849']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3710672855906561
- 35 USC 102 Novelty (BERT): 0.4657132163755511
- Combined Prediction Score: 0.3805318786691456
- Mean Citation Score: 175.49955400000005
- Max Citation Score: 177.77393999999995
- Similarity Product: 139.0402553752613

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