PATENT CLAIM ANALYSIS

Application Number: 16194462
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-04
Patent Classification: ["382", "103000"]

Abstract:
A system and methodologies for neuromorphic vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking.

Claim (Index 33):
The method of  claim 32 , further comprising aggregating and associating the velocity vector data by the digital neuromorphic engine to perform velocity segmentation to identify and differentiate objects within the image data based on relative motion identified over frames of image data.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 98.0
- Lexical Diversity: 1.2
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15386220', '15619906', '15726883', '15619992', '13623838']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.318644524118033
- 35 USC 102 Novelty (BERT): 0.5627660219364733
- Combined Prediction Score: 0.343056673899877
- Mean Citation Score: 334.4530640000001
- Max Citation Score: 428.9424
- Similarity Product: 387.8699234639168

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