PATENT CLAIM ANALYSIS

Application Number: 15957859
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["382", "159000"]

Abstract:
A system trains a facial recognition modeling system using an extremely large data set of facial images, by distributing a plurality of facial recognition models across a plurality of nodes within the facial recognition modeling system. The system optimizes a facial matching accuracy of the facial recognition modeling system by increasing a facial image set variance among the plurality of facial recognition models. The system selectively matches each facial image within the extremely large data set of facial images with at least one of the plurality of facial recognition models. The system reduces the time associated with training the facial recognition modeling system by load balancing the extremely large data set of facial images across the plurality of facial recognition models while improving the facial matching accuracy associated with each of the plurality of facial recognition models.

Claim (Index 1):
A computer program product comprising a non-transitory computer readable medium having computer readable program code embodied therewith for training a facial recognition modeling system using an extremely large data set of facial images, the program code executable by a computing processor to:\n distribute a plurality of facial recognition models across a plurality of nodes within the facial recognition modeling system; and optimize a facial matching accuracy of the facial recognition modeling system by increasing a facial image set variance among the plurality of facial recognition models, wherein, to optimize the facial matching accuracy of the facial recognition modeling system, the program code when executed is further operable to:\n match each facial image of the data set of facial images with at least one of the facial recognition models; and \n insert a facial image of the data set of facial images into a facial recognition model of the plurality of facial recognition models, wherein the facial recognition model is associated with a least closely matching facial image.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 91.0
- Lexical Diversity: 2.95833
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15228767', '15957884', '12017131', '10610494', '14074615']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3512469990109256
- 35 USC 102 Novelty (BERT): 0.5782034348757952
- Combined Prediction Score: 0.3739426425974126
- Mean Citation Score: 312.1595220000001
- Max Citation Score: 470.8783
- Similarity Product: 451.7876401722969

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

Dataset: test