PATENT CLAIM ANALYSIS

Application Number: 16195437
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["235", "462060"]

Abstract:
A barcode reader may perform image processing functions to generate distinct image data records from the frame of image data of a barcode, select an image data record from the distinct image data records and decode the selected image data record. Each image data record may be generated by applying a distinct image processing function to the frame of image data. The barcode reader may capture multiple frames of image data in sequence based on image capture parameters. At least one of the multiple frames of image data may be captured with a distinct parameter value. The image capture parameters may include an exposure setting, a gain setting, a resolution setting, and/or an illumination setting.

Claim (Index 11):
A barcode reader, comprising:\n a camera system for generating a frame of image data comprising an image of a barcode within a field of view of the camera system; an image processing system for receiving the frame of image data and generating at least two distinct image data records, each of the at least two distinct image data records being a derivative of the frame of image data and representing the image of the barcode, the image processing system generating the at least two distinct image data records using at least two different image processing circuits implemented in hardware; non-transient computer readable media for storing the at least two distinct image data records; and a processor configured to select an image data record from the at least two distinct image data records and decode the selected image data record.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 98.0
- Lexical Diversity: 2.25455
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14717112', '14717167', '14717193', '14717247', '15676397']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6556615079674502
- 35 USC 102 Novelty (BERT): 0.5681182507500834
- Combined Prediction Score: 0.6469071822457135
- Mean Citation Score: 405.71382000000006
- Max Citation Score: 479.27106
- Similarity Product: 458.2882449459958

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

Dataset: test