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 17):
The mobile camera as defined in  claim 16 , wherein the first means for recognizing is to compare the first feature to a reference motion feature definition in a reference motion metadata library to generate the first metadata.

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): 0.6094106594584527
- 35 USC 102 Novelty (BERT): 0.4792151310173217
- Combined Prediction Score: 0.5963911066143397
- Mean Citation Score: 129.31694299999998
- Max Citation Score: 139.18872
- Similarity Product: 93.74991659900664

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