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 44):
A digital neuromorphic engine comprising:\n one or more processors running software configured to generate digital neuromorphic output data that includes velocity vector data representing a velocity space that is a spatial and temporal representation of image data, wherein the image data is generated by a composite image sensor comprised of a plurality of photoreceptors, wherein the image data indicates whether an intensity value measured by each photoreceptor exceeds a threshold, wherein a plurality of computational elements corresponding to the plurality of photoreceptors generate 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 wherein the one or more processors generate the digital neuromorphic output data based on the generated image spike 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): 0.3189306824999399
- 35 USC 102 Novelty (BERT): 0.562172481583347
- Combined Prediction Score: 0.3432548624082806
- Mean Citation Score: 334.4530640000001
- Max Citation Score: 428.9424
- Similarity Product: 382.032526431942

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