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 10):
The system of  claim 9 , further comprising a conveyor system configured to convey the query object,\n wherein the memory further stores instructions that, when executed by the processor, cause the processor to redirect the query object is accordance with the classification of the query object.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 86.0
- Lexical Diversity: 3.33962
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15678075', '14619709', '15675684', '15524944', '10660819']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3398255725442414
- 35 USC 102 Novelty (BERT): 0.5091948973667538
- Combined Prediction Score: 0.3567625050264927
- Mean Citation Score: 236.62969200000003
- Max Citation Score: 282.0235
- Similarity Product: 194.09669102612145

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