PATENT CLAIM ANALYSIS

Application Number: 15970539
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["348", "077000"]

Abstract:
The present disclosure relates to performing facial recognition using a single-pixel sensor that measures the time signature of a light pulse reflected from a subjects face. Due to depth differences between the sensor position and different parts of the subject's face reflections of a short duration illumination pulse from the different parts of the subject's face will arrive back at the sensor at different times, thus providing a time-based one-dimensional signature unique to the individual subject. By analyzing the reflection signature using neural networks or principal component analysis (PCA), recognition of the subject can be obtained. In addition, the same system may also be used to recognize or discriminate between any other objects of known shape in addition to faces, for example manufactured products on a production line, or the like.

Claim (Index 4):
The sensor according to  claim 3 , wherein the machine learning techniques include at least one of:\n a) principal component analysis; and/or b) one or more neural networks.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 93.0
- Lexical Diversity: 1.6
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12809235', '15657101', '15589959', '15340972', '14842825']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6407443220617555
- 35 USC 102 Novelty (BERT): 0.4879910039912469
- Combined Prediction Score: 0.6254689902547047
- Mean Citation Score: 140.948668
- Max Citation Score: 153.00061000000005
- Similarity Product: 95.857464601844

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