PATENT CLAIM ANALYSIS

Application Number: 15889548
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["348", "164000"]

Abstract:
A stereoscopic vision device, a method and a robot, the stereoscopic vision device comprising: a first image capture device and a second image capture device configured to capture a light pattern formed in an environment of the device by a light source configured to emit NIR light at a multiplicity of directions, each of the first image capture device and the second image capture device comprising a filter configured to transmit at least 75 percent of the NIR light, and to transmit at most 50 percent of visible light; and a processor configured to: determine depth information of the environment from a first image captured by the first image capture device and a second image captured by the second image capture device, based on the light pattern as depicted in the first image and the second image; and determine color information of the environment the first image and the second image.

Claim (Index 8):
The device of  claim 1 , wherein the depth information is determined by (i) identifying the light pattern depicted in the first image and in the second image, and (ii) registration of the light pattern depicted in the first image with the the light pattern depicted in the second image.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 88.0
- Lexical Diversity: 2.98148
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14672369', '14500674', '14962909', '14821156', '15608002']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6341487729204595
- 35 USC 102 Novelty (BERT): 0.4694880951433789
- Combined Prediction Score: 0.6176827051427514
- Mean Citation Score: 164.064408
- Max Citation Score: 166.92107
- Similarity Product: 127.95395386222124

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