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 5):
The system according to  claim 4 , the one or more color feature extractors being configured to convert the input pixels in the one or more input pixel streams into YUV color space components without clipping.

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): 0.3294102905418085
- 35 USC 102 Novelty (BERT): 0.5127460165477957
- Combined Prediction Score: 0.3477438631424073
- Mean Citation Score: 162.45621200000005
- Max Citation Score: 176.53787
- Similarity Product: 89.11696246886255

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