PATENT CLAIM ANALYSIS

Application Number: 15862512
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["382", "224000"]

Abstract:
A method for classifying physical objects includes: controlling, by a processor, one or more depth cameras to capture depth images of a query object; controlling, by the processor, one or more color cameras to capture a color images of the query object; computing, by the processor, a three-dimensional (3D) model of the query object using the depth images; combining, by the processor, the color images with the 3D model; computing, by the processor, a descriptor from the 3D model and the color images, the descriptor including: a multi-dimensional shape descriptor space representation of a 3D shape of the query object; a multi-dimensional color descriptor space representation of a texture of the query object; and a one-dimensional size descriptor space representation of a size of query object; supplying, by the processor, the descriptor to a classifier to compute a classification of the query object; and outputting the classification of the query object.

Claim (Index 13):
The system of  claim 12 , wherein the neural network is trained based on an inventory of objects.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 86.0
- Lexical Diversity: 3.33962
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15678075', '14619709', '15675684', '15524944', '10660819']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3666505422368595
- 35 USC 102 Novelty (BERT): 0.5134278502618542
- Combined Prediction Score: 0.381328273039359
- Mean Citation Score: 236.62969200000003
- Max Citation Score: 282.0235
- Similarity Product: 186.2731737537384

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