PATENT CLAIM ANALYSIS

Application Number: 15906526
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["382", "154000"]

Abstract:
A method and apparatus for (a) receiving a three-dimensional (3D) point cloud from a depth sensor that is oriented towards an open end of a shipping container, the point cloud comprising a plurality of points that each have a respective depth value, (b) segmenting the received 3D point cloud among a plurality of grid elements, (c) calculating a respective loaded-container-portion grid-element volume for each grid element, (d) calculating a loaded-container-portion volume of the shipping container by aggregating the calculated respective loaded-container-portion grid-element volumes, (e) calculating an estimated fullness of the shipping container based on the loaded-container-portion volume and a capacity of the shipping container; and (f) outputting the calculated estimated fullness of the shipping container.

Claim (Index 4):
The method of  claim 3 , wherein assigning the grid-element depth value for the given grid element based on the depth values of the points in the point cloud that correspond to the given grid element comprises assigning as the grid-element depth value for the given grid element a minimum value from among the depth values of the points in the point cloud that correspond to the given grid element.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.19355
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14944860', '15853223', '16077473', '14993222', '15041713']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.324320848110599
- 35 USC 102 Novelty (BERT): 0.4981093470419762
- Combined Prediction Score: 0.3416996980037367
- Mean Citation Score: 147.9284002
- Max Citation Score: 273.8396
- Similarity Product: 234.4344632101536

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