PATENT CLAIM ANALYSIS

Application Number: 16259942
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["235", "462110"]

Abstract:
A barcode-reading system may include a barcode-reading enhancement accessory that is securable to a mobile device. The accessory may include an optic system that is configured to shape and filter illumination from a white light source of the mobile device to project targeting illumination onto a target surface. Calibration data may indicate a relationship between surface distance and at least one feature offset of the targeting illumination. A barcode-reading application may determine a feature offset of the targeting illumination in an image that is captured by the camera assembly of the mobile device. The application may also determine an estimated surface distance based on the calibration data and the feature offset. The application may also use the estimated surface distance to adjust at least one operating parameter of the mobile device.

Claim (Index 3):
The barcode-reading system of  claim 1 , wherein the barcode-reading application is executable by the processor of the computing device to maintain calibration data, the calibration data comprising one or more relationships between feature offsets of targeting illuminations and surface distances associated with corresponding operating parameters.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.20968
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15621239', '15207492', '15207484', '15207497', '15434004']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6853528013277205
- 35 USC 102 Novelty (BERT): 0.5695147941101929
- Combined Prediction Score: 0.6737690006059678
- Mean Citation Score: 424.562164
- Max Citation Score: 491.91162
- Similarity Product: 410.6326642630613

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