PATENT CLAIM ANALYSIS

Application Number: 15912246
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["382", "299000"]

Abstract:
A system and method for training a neural network to perform image upscaling is provided. The method includes receiving first, second and third image data at a processor. The processor generates input image data and target image data to feed as a training pair to a neural network processor. In particular, at least one of the first, second and third image data is generated from a high quality imaging device, such as a high resolution thermal camera, or a high resolution RADAR sensor. The neural network processor applies an image upscaling function to the input image data, and minimizes a loss function between upscaled output image data and the target image data to train the neural network. Subsequently, the high quality imaging device may be removed from the system, and the neural network may upscale input image data to approximate image data achieved with the high quality imaging device.

Claim (Index 13):
The imaging system of  claim 8 , wherein the processor is further configured to align the first image data, the second image data and the third image data such that respective corresponding pixels in the first image data, the second image data, and the third image data correspond to a same reference point.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.39706
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10600671', '15343254', '15784039', '15000670', '14631588']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3481772540557203
- 35 USC 102 Novelty (BERT): 0.5034115832240568
- Combined Prediction Score: 0.363700686972554
- Mean Citation Score: 199.653706
- Max Citation Score: 216.20766
- Similarity Product: 133.43659287032605

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