PATENT CLAIM ANALYSIS

Application Number: 15912239
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["706", "012000"]

Abstract:
Systems and methods for preventing machine learning models from negatively affecting mobile devices are provided. For example, a mobile device including a camera, memory devices, and one or more processors are provided. In some embodiments, the processors may be configured to provide images captured by the camera to a machine learning model at a first rate. The processors may also be configured to determine whether one or more of the images includes an object. If one or more of the images includes the object, the processors may be further configured to adjust the first rate of providing the images to the machine learning model to a second rate, and in some embodiments, determine whether to adjust the second rate of providing the images to the machine learning model to a third rate based on output received from the machine learning model.

Claim (Index 10):
The mobile device of  claim 9 , wherein the output comprises a confidence score and an object type for the depicted object.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 90.0
- Lexical Diversity: 2.42857
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15363835', '13835294', '15444054', '15599505', '14616509']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3737601519774691
- 35 USC 102 Novelty (BERT): 0.4844093789988834
- Combined Prediction Score: 0.3848250746796105
- Mean Citation Score: 154.329344
- Max Citation Score: 164.84917
- Similarity Product: 108.28985023632583

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

Dataset: test