PATENT CLAIM ANALYSIS

Application Number: 15885684
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["701", "515000"]

Abstract:
A system and method of confirming compliance with rules. A machine learning model is trained in multiple levels with data concerning basic interpretation of sensors and with discovery of interesting patterns related to the area of application of the rules. The model is downloaded to a second processor which further trains the model with sensor data gathered after the download. Additional sensor data along with data from a server or other sources may be used as an input to the model and the second or another processor evaluates the model with the inputs to create outputs which determine the state of compliance. Specific applications include determination of compliance with a dress code and determination of sobriety in traffic stop situations. Other typical applications include compliance with sports regulations such as the one requiring a specific geometry of a lacrosse stick head pocket as checked after each goal.

Claim (Index 19):
The device of  claim 14  wherein:\n the machine learning model has been trained to detect sobriety of a person a basis of the determination.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 86.0
- Lexical Diversity: 1.7191
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15828629', '15864026', '15382092', '15866079', '14293855']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4283865549258456
- 35 USC 102 Novelty (BERT): 0.4867287133073412
- Combined Prediction Score: 0.4342207707639952
- Mean Citation Score: 149.52418400000005
- Max Citation Score: 170.10634
- Similarity Product: 108.74567589201448

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

Dataset: test