PATENT CLAIM ANALYSIS

Application Number: 16071762
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["235", "487000"]

Abstract:
A checkout apparatus ( 10 ) includes an image data acquisition unit ( 11 ) that acquires data of an image; an image analysis unit ( 12 ) that recognizes a plurality of products in the image using a feature value of an exterior of each of the products registered in a feature value storage unit ( 14 ) and the data of the image; a reading necessity or non-necessity check unit ( 15 ) that extracts the product for which it is necessary to read a product code from among the recognized products, using an object-to-be-read storage unit ( 16 ) in which the product for which it is necessary to read the product code is registered in advance; and a reading unit ( 17 ) that reads the product code of the product extracted by the reading necessity or non-necessity check unit ( 15 ).

Claim (Index 12):
The information processing apparatus according to  claim 2 ,\n wherein the at least one processor is further configured to: acquire data of a plurality of images captured from a plurality of directions, and analyze the data of the plurality of images to extract the product code from the area in the image in which the product for which it is necessary to read the product code is shown.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 95.0
- Lexical Diversity: 2.45161
- Patent Class: 235.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15562210', '14743576', '13220884', '15559989', '14455654']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5480792713767568
- 35 USC 102 Novelty (BERT): 0.4653779291078487
- Combined Prediction Score: 0.539809137149866
- Mean Citation Score: 168.428072
- Max Citation Score: 192.76277
- Similarity Product: 158.37233309443295

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

Dataset: test