PATENT CLAIM ANALYSIS

Application Number: 16017739
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["235", "462420"]

Abstract:
A method for glare reduction may be implemented by a graphical code reader. The graphical code reader includes an optic system, a plurality of light sources, and a control system. The control system is configured to determine that glare is present in an image captured by the optic system by identifying reflection from at least one of the plurality of light sources. The control system may take a corrective action to reduce the glare in subsequent images. The control system may be configured to take a first corrective action if a diffraction pattern is present at a periphery of the glare, and take a second corrective action if a diffraction pattern is not present at the periphery of the glare.

Claim (Index 1):
A graphical barcode reader that is configured to perform glare reduction, comprising:\n an optic system, including an image sensor, for capturing a sequence of images of a barcode presented in a field of view of the image sensor; a plurality of light sources configured to illuminate the field of view of the image sensor; and a control system configured to, if glare is present within an image of the sequence of images, take a corrective action to reduce the glare in subsequent images, wherein the control system is configured to take a first corrective action if a diffraction pattern is present at a periphery of the glare, and take a second corrective action if a diffraction pattern is not present at the periphery of the glare.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 2.32727
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15162588', '15489648', '12334404', '13195209', '13903799']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5560224838158784
- 35 USC 102 Novelty (BERT): 0.5119100017528389
- Combined Prediction Score: 0.5516112356095745
- Mean Citation Score: 267.989104
- Max Citation Score: 338.89435
- Similarity Product: 320.9985670514821

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

Dataset: test