Barcode Reader Controller Decode Time Metadata Analysis
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Solution Overview
Problem
Current methods for assessing reading performance of coded symbols in retail environments are ineffective, as they rely on manual and subjective techniques, leading to inefficient identification of slow decode times and failure to optimize checkout processes.
Innovation Solution
An automated system using imager-based readers and controllers that collect and analyze decode time metadata to identify the longest decode times and associate them with symbol images, allowing for the determination of the cause of slow reading performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual assessment techniques are used to evaluate reading performance, then the system complexity is reduced, but the measurement precision and reliability of decode time assessment deteriorate
Solution Approach 1:
The system automatically collects, stores, and analyzes decode time metadata without requiring manual intervention. The controller self-monitors performance by tracking decode time for each symbol read and automatically identifies slow decode instances, eliminating the need for manual assessment while maintaining high measurement precision.
Solution Approach 2:
The system continuously monitors decode time performance and provides automatic feedback by storing and analyzing metadata about each decode operation. This feedback mechanism allows the system to identify patterns in slow decoding without human intervention, improving both precision and reliability of performance assessment.
2Measurement precision
If automated metadata collection is implemented, then the measurement precision of reading performance improves, but the device complexity increases
Solution Approach 1:
The controller performs multiple functions: it controls the reader operations, processes symbol images, decodes symbols, collects metadata, stores performance data, and analyzes decode times. By consolidating these functions into a single multi-functional controller, the system achieves automated precise measurement without proportionally increasing overall system complexity.
3Measurement precision
If decode time is extended to improve reading accuracy, then the measurement precision improves, but the productivity and checkout efficiency deteriorate
Solution Approach 1:
The system collects and analyzes metadata about decode times to identify when excessive decoding time is occurring. By analyzing only the metadata rather than extending every decode operation, the system maintains high reading accuracy when needed while preserving checkout efficiency through targeted intervention only when problems are detected.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and automatic assessment of reading performance, facilitating quick corrective measures to improve checkout efficiency and reduce costs by identifying and addressing the root causes of slow decode times.
Implementation Method 1
Each imager has a one- or two-dimensional array of photocells or light sensors (also known as pixels), and an imaging lens assembly for capturing return light scattered and/or reflected from a target being imaged through a scan window over a field of view, and for projecting the return light onto the sensor array to initiate capture of an image of the target
Data Source
AI summary
A reader electro-optically reads symbols by image capture to obtain read data, and a controller processes symbol images of the symbols captured by the reader, and decodes the read data to obtain symbol data indicative of the associated products. The controller also collects time-to-decode metadata by determining the decode time periods that are taken for the symbol data to be successfully decoded, associates the decode time periods with the symbol images, stores the longest decode time period and its associated symbol image, and displays the stored symbol image associated with the stored longest decode time period to determine a cause of the reading performance of the reader.