PATENT CLAIM ANALYSIS

Application Number: 16404667
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2020-01
Patent Classification: ["382", "103000"]

Abstract:
A projected image item tracking system that analyzes projected camera images to determine items taken from, placed on, or moved on a shelf or other area in an autonomous store. The items and actions performed on them may then be attributed to a shopper near the area. Projected images may be combined to generate a 3D volume difference between the state of the area before and after shopper interaction. The volume difference may be calculated using plane-sweep stereo, or using convolutional neural networks. Because these methods may be computationally intensive, the system may first localize a change volume where items appear to have been displaced, and then generate a volume difference only within that change volume. This optimization results in significant savings in power consumption and in more rapid identification of items. The 3D volume difference may also indicate the quantity of items displaced, for example from a vertical stack.

Claim (Index 14):
The system of  claim 11 , wherein said calculate said image difference comprises calculate an absolute value of a difference between a pixel value of said each projected before\n image and a corresponding pixel value of said corresponding projected after image.

Metadata:
- Claim Count in Document: 36.0
- Percentile: 100.0
- Lexical Diversity: 1.77174
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16254776', '16138278', '16036754', '15907112', '15175997']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3890345167413045
- 35 USC 102 Novelty (BERT): 0.5583313624639168
- Combined Prediction Score: 0.4059642013135658
- Mean Citation Score: 317.190252
- Max Citation Score: 438.41324
- Similarity Product: 324.8390970383548

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test