PATENT CLAIM ANALYSIS

Application Number: 16179810
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["235", "462240"]

Abstract:
The present disclosure relates to data readers including an improved imaging system that optimizes active and passive autofocus techniques for improving data reading functions. In an example, the data reader initially uses active autofocus techniques to focus a lens system based on a measurement reading by a rangefinder and acquire an image of an item in the field-of-view of the data reader. The data reader includes a decoding engine operable to decode an optical code of the item using the acquired image. If the decoding engine is unable to decode the optical code using the active autofocus technique, the data reader alternates to a passive autofocus technique to alter the focus settings of the lens system and reattempt the decoding process.

Claim (Index 11):
A method for operating a data reader, the method comprising:\n adjusting, via a driver, a lens system according to one or more focus settings; acquiring, via an image sensor, images of an item in a field-of-view of the data reader using a selected focus setting; decoding, via a decoder, an optical code associated with the item from the images acquired by the image sensor; determining the focus settings for the lens system based on operation of a rangefinder of a hybrid autofocus system during an active autofocus mode; determining the focus settings based on operation of a signal processor operably coupled to the image sensor of the hybrid autofocus system during a passive autofocus mode; and controlling, via a controller, the lens system to automatically switch between the active autofocus mode and the passive autofocus mode responsive to results of the decoding.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 2.01587
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15354247', '11496913', '15879645', '14264173', '15269020']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5719264683082456
- 35 USC 102 Novelty (BERT): 0.4840365405085723
- Combined Prediction Score: 0.5631374755282782
- Mean Citation Score: 168.77617999999995
- Max Citation Score: 268.38245
- Similarity Product: 215.86221483766136

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