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 25):
A neuromorphic vision system generating and processing image data, the system comprising:\n a composite image sensor comprised of a plurality of photoreceptors for generating image data indicating whether an intensity value measured by each photoreceptor exceeds a threshold; a plurality of computational elements corresponding to the plurality of photoreceptors, wherein each of the plurality of computational elements generates image spike data for the respective corresponding photoreceptor based on the image data generated by at least two of the plurality of photoreceptors including the respective corresponding photoreceptor and a photoreceptor neighboring the respective corresponding photoreceptor; and a digital neuromorphic engine including one or more processors running software configured to generate, based on the generated image spike data, digital neuromorphic output data that includes velocity vector data representing a velocity space that is a spatial and temporal representation of the 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): 0.3183627212571321
- 35 USC 102 Novelty (BERT): 0.5633507533607061
- Combined Prediction Score: 0.3428615244674895
- Mean Citation Score: 334.4530640000001
- Max Citation Score: 428.9424
- Similarity Product: 393.62164561500566

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