PATENT CLAIM ANALYSIS

Application Number: 16168066
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["348", "150000"]

Abstract:
A system, method, and apparatus for automated object recognition at checkout is provided. One checkout system includes a base, a head portion, a support for the head portion above the base, an illumination device in the head portion, at least one imaging device in the head portion, a processor coupled to the at least one imaging device, and a display. An examination space is defined between the base and the head portion for accommodating food items. The illumination device illuminates the food items, and the at least one imaging device captures color images of the food items. The processor applies a machine-learning model for performing image recognition of the food items in the color images to identify each food item. The image recognition is based on features of the food items that include shape, size, and color. An identification of each of the food items is presented on the display.

Claim (Index 3):
The checkout system of  claim 1 , wherein a machine-learning program formulates the machine-learning model with supervised learning using a training dataset comprising reference images of food items.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 97.0
- Lexical Diversity: 2.54545
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14517634', '12554630', '13903863', '12658581', '13947831']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5688818206939347
- 35 USC 102 Novelty (BERT): 0.5067097313742759
- Combined Prediction Score: 0.5626646117619688
- Mean Citation Score: 162.19347
- Max Citation Score: 260.41257
- Similarity Product: 178.75142453049304

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