PATENT CLAIM ANALYSIS

Application Number: 15955255
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["235", "455000"]

Abstract:
In an embodiment, the present invention is a barcode reader that includes: a first imaging assembly configured to capture a first image; a second imaging assembly positioned relative to the first imaging assembly and configured to capture a second image; and a controller communicatively coupled to the first imaging assembly and the second imaging assembly. The controller is configured to: calculate a first contrast level within a first region within the first image; calculate a second contrast level within a second region within the second image; execute a first barcode-decode operation on the first image when the first contrast level is greater than the second contrast level; and execute the first barcode-decode operation on the second image when the second contrast level is greater than the first contrast level.

Claim (Index 19):
The method of  claim 16 , further comprising:\n determining a first histogram of the first region; and determining a second histogram of the second region, wherein the operation of determining the first white level and the first black level is based on the first histogram, and wherein the operation of determining the second white level and the second black level is based on the second histogram.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 3.23256
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15955612', '12719379', '15928174', '12333844', '14717112']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5336045719001282
- 35 USC 102 Novelty (BERT): 0.494451277256714
- Combined Prediction Score: 0.5296892424357869
- Mean Citation Score: 209.378398
- Max Citation Score: 240.67752
- Similarity Product: 163.4627044113922

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

Dataset: test