PATENT CLAIM ANALYSIS

Application Number: 15866889
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["382", "156000"]

Abstract:
A machine learning system for processing image data obtained from an image sensor is provided. The system includes a front end comprising one or more hard-coded filters, each of the one or more hard-coded filters being arranged to perform a set task. The system includes a neural network arranged to receive and process output from the front end. The one or more hard-coded filters include one or more hard-coded noise compensation filters that are hard-coded to compensate for a noise profile of the image sensor from which the image data is obtained. A method of processing image data in a machine learning system is also provided. A system for processing image data is provided.

Claim (Index 9):
The system according to  claim 8 , wherein the one or more correlation filters include one or more sharpening filters, one or more brightening filters, one or more edge detection filters, one or more texture feature extraction filters one or more auto-white balance filters, one or more color extraction filters, and/or one or more further noise compensation filters.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.28302
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15075076', '14517211', '15604473', '15070699', '15480172']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3355049324559041
- 35 USC 102 Novelty (BERT): 0.4863273915781589
- Combined Prediction Score: 0.3505871783681296
- Mean Citation Score: 162.45621200000005
- Max Citation Score: 176.53787
- Similarity Product: 119.85088711056471

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