Decode Time Metadata Collection for Retail Transaction Efficiency
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Solution Overview
Problem
Current methods for assessing reading performance of electro-optically decoded symbols in retail transactions are inefficient and subjective, often resulting in slow decode times due to factors like poor symbol quality, user error, and environmental conditions, leading to increased checkout times and reduced revenue.
Innovation Solution
A system that uses a controller in conjunction with either laser-based or imager-based readers to collect and compare decode time metadata with a predetermined inefficiency threshold, automatically storing and analyzing decode times exceeding this threshold to identify slow reading performance and its causes, thereby enabling corrective measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual collection of slow decode symbols by clerks is used, then reading performance can be assessed, but the method is subjective, labor-intensive, and ineffective
Solution Approach 1:
The reading system automatically collects and analyzes decode time data without requiring clerk intervention. The controller autonomously identifies slow decode events, captures associated product information, and generates performance reports, eliminating the need for manual data collection by clerks.
Solution Approach 2:
The manual mechanical process of clerks collecting and recording slow decode symbols is replaced with an automated electronic system. The controller automatically tracks decode times, stores metadata, and analyzes performance trends through software-based monitoring rather than human observation and recording.
2Measurement precision
If automatic collection of decode time metadata is implemented, then reading performance assessment becomes accurate and objective, but system complexity increases
Solution Approach 1:
The controller performs multiple functions: it manages the reading operation, collects decode time metadata, stores product information, identifies slow decode events, and generates performance reports. By consolidating these functions into a single controller, the system achieves accurate automated measurement without proportionally increasing overall system complexity.
Solution Approach 2:
The controller acts as an intermediary between the reading system and the performance assessment process. It collects decode time metadata from the reading operation and translates it into actionable performance insights, bridging the gap between raw data and meaningful analysis without requiring complex external systems.
3Productivity
If slow decode events are automatically identified and stored, then transaction efficiency can be optimized, but data processing requirements increase
Solution Approach 1:
The system extracts only the relevant slow decode events from the overall data stream, filtering out normal decode operations. By focusing only on decode events exceeding the predetermined threshold, the system reduces data processing requirements while still capturing all information necessary for optimizing transaction efficiency.
Solution Approach 2:
The controller continuously monitors decode times in real-time and immediately identifies slow decode events as they occur. By detecting and storing these events at the moment they happen, rather than processing all data afterward, the system minimizes data processing load while ensuring no efficiency optimization opportunities are missed.
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
This approach allows for automatic, accurate, and cost-effective assessment of reading performance, enabling quick implementation of corrective actions to optimize checkout times and improve transaction efficiency.
Implementation Method 1
Some readers are laser-based, and project a multitude of laser scan lines through the scan window. When at least one of the scan lines sweeps over a symbol associated with a product
Implementation Method 2
The multitude of scan lines is typically generated by a scan pattern generator which includes a laser for emitting a laser beam at a mirrored component mounted on a shaft for rotation by a motor about an axis. A plurality of stationary mirrors is arranged about the axis. As the mirrored component turns, the laser beam is successively reflected onto the stationary mirrors for reflection therefrom through the scan window
Implementation Method 3
Other readers are imager-based, and have one or more solid-state imagers, or image sensors, analogous to those conventionally used in consumer digital cameras. 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
Data Source
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AI summary
A reader electro-optically reads symbols associated with products to obtain read data, and a controller decodes the read data to obtain symbol data indicative of the associated products. Reading performance is assessed by collecting time-to-decode metadata by determining each decode time period that is taken for each symbol data to be successfully decoded, by associating the collected time-to-decode metadata with the symbol data, by comparing the collected time-to-decode metadata with a predetermined long amount of decode time that is indicative of a slow reading performance, by storing each decode time period that at least equals said predetermined long amount of decode time, and by storing the symbol data associated with each stored decode time period.