PATENT CLAIM ANALYSIS

Application Number: 15870007
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["348", "077000"]

Abstract:
An example mobile camera includes a first convolutional neural network to recognize a first feature in first sensor data in response to the first feature being detected in the first sensor data; a state transitioner to transition the mobile camera from a first feature detection state to a second feature detection state in response to the first convolutional neural network recognizing the first feature, the mobile camera to operate using higher power consumption in the second feature detection state than in the first feature detection state; a second convolutional neural network to recognize a second feature in second sensor data in the second feature detection state; and a communications interface to send to an external device at least one of first metadata corresponding to the first feature or second metadata corresponding to the second feature.

Claim (Index 3):
The mobile camera as defined in  claim 1 , further including a feature detector to determine whether the first feature satisfies a feature trigger threshold, the first convolutional neural network to generate the first metadata in response the first feature satisfying the feature trigger threshold.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 86.0
- Lexical Diversity: 2.8
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14675464', '15010351', '12313193', '15658279', '13759906']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6092175750708326
- 35 USC 102 Novelty (BERT): 0.4799645071086081
- Combined Prediction Score: 0.5962922682746101
- Mean Citation Score: 129.31694299999998
- Max Citation Score: 139.18872
- Similarity Product: 93.17206311452864

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

Dataset: test