PATENT CLAIM ANALYSIS

Application Number: 15980495
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["348", "345000"]

Abstract:
An apparatus and method for improving camera depth estimations for a moving subject in the camera field of view. The camera utilizes a generative adversarial network (GAN) to predict future frames from a current frame(s). These predicted future frames are then utilized as a target for determining a depth map from which lens focusing direction and distance are determined for moving the camera into proper focus and thus reducing focusing errors on captured frames as target and/or camera motion progresses.

Claim (Index 10):
The apparatus as recited in  claim 4 , wherein said programming executable on said processor is configured for performing said recognition process by utilizing facial recognition.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 93.0
- Lexical Diversity: 1.46667
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14675287', '13077677', '13350285', '12643802', '13609155']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6260207578517247
- 35 USC 102 Novelty (BERT): 0.4993150152658129
- Combined Prediction Score: 0.6133501835931336
- Mean Citation Score: 160.67146199999996
- Max Citation Score: 173.27358999999996
- Similarity Product: 101.61924730000256

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

Dataset: test