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 1):
A device to facilitate confirmation of compliance with a physical standard comprising:\n (a) a first processor with a memory containing a program for machine learning and a model of the physical standard wherein the model has been pre-trained using a second processor with information concerning at least one of objects indicating compliance with the physical standard, and of behavior of persons complying with the physical standard; (b) a sensor to detect at least one of characteristics of objects and of behavior of persons to acquire information to be used in training the model using the first processor; (c) a program comprised in the memory of the first processor to use the model and data from the sensor to produce a determination of the state of compliance with the physical standard; and (d) an output device to transmit the determination to facilitate use of the state of compliance.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 86.0
- Lexical Diversity: 1.7191
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15828629', '15864026', '15382092', '15866079', '14293855']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4011954618936082
- 35 USC 102 Novelty (BERT): 0.477918764636967
- Combined Prediction Score: 0.4088677921679441
- Mean Citation Score: 149.52418400000005
- Max Citation Score: 170.10634
- Similarity Product: 115.82334486693264

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

Dataset: test