PATENT CLAIM ANALYSIS

Application Number: 16293940
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-11
Patent Classification: ["235", "437000"]

Abstract:
An optical code reading process and a reading stability determining process are performed while suppressing an increase in the cost of a transfer system and avoiding a decrease in work efficiency. CMOS performs imaging. Processor reads an optical code contained in image data taken by CMOS and outputs a signal upon success of reading of the optical code. Further, processor calculates a first contrast at the time of teaching and a second contrast at the time of reading success, and determines reading stability based on a decrease rate of the second contrast with respect to the first contrast.

Claim (Index 4):
The optical information reading apparatus according to  claim 1 , wherein\n the optical code is an error-correction processed two-dimensional code, and wherein the control section:\n counts the number of error corrected cell patterns, \n calculates a correction level that is a ratio of the number of error corrected cell patterns to the total number of cell patterns, \n determines reading stability on the basis of the correction level, and \n determines final reading stability on the basis of the reading stability based on the decrease rate and the reading stability based on the correction level.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 99.0
- Lexical Diversity: 1.82456
- Patent Class: 235.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14794864', '10463240', '10893879', '11607114', '15849737']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6354644174362202
- 35 USC 102 Novelty (BERT): 0.4542469723766912
- Combined Prediction Score: 0.6173426729302673
- Mean Citation Score: 137.209886
- Max Citation Score: 147.32112
- Similarity Product: 109.03189058635712

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