PATENT CLAIM ANALYSIS

Application Number: 16137932
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["382", "103000"]

Abstract:
According to one embodiment, an article recognition apparatus includes an image interface, a weight interface and a processor. The image interface acquires an image captured by photographing a predetermined place where a plurality of articles are disposed. The processor acquires a first image, acquires a second image after detecting a predetermined event, recognizes an article, based on an image of an article area of an article which is absent in the second image, among article areas extracted from the first image, acquires a registered weight of the recognized article from an article database, and outputs an error if total of the registered weights disagrees with a difference weight between a first weight which a weight scale measures at a time of photographing the first image, and a second weight which the weight scale measures at a time of photographing the second image.

Claim (Index 8):
The settlement apparatus of  claim 1 , wherein the processor is configured to generate a difference image between the first image and the second image, to generate a mask image based on the difference image, and to generate, based on the mask image, an image of commodity areas of the one or more commodities that have been taken out.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 97.0
- Lexical Diversity: 2.40625
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15425343', '14737800', '14581497', '15434387', '12343730']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3373156290478037
- 35 USC 102 Novelty (BERT): 0.5174454312291906
- Combined Prediction Score: 0.3553286092659424
- Mean Citation Score: 194.384702
- Max Citation Score: 305.96042
- Similarity Product: 228.4710918075085

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test