Commodity Registration Terminal with User Cancellation Feedback
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Solution Overview
Problem
Cart POS systems face misrecognition and incorrect registration of commodities due to similarities in appearance and improper placement of items, leading to inaccuracies in commodity identification and registration.
Innovation Solution
A commodity registration terminal equipped with an imaging device, display device, input device, and processor that captures images of commodities, performs image recognition using pre-learned data, and allows users to confirm and cancel misrecognized commodities through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic image recognition is used for commodity identification, then registration speed is improved, but recognition accuracy deteriorates due to similar appearances and improper placement
Solution Approach 1:
The system displays recognized commodity information to the user and allows manual correction through a cancellation interface. When users cancel misrecognized commodities, the system learns from these corrections to improve future recognition accuracy, creating a feedback loop that maintains both speed and accuracy.
Solution Approach 2:
The system enables users to self-correct recognition errors by providing an intuitive cancellation interface where users can manually review and correct misidentified items. This self-service correction mechanism allows users to maintain accuracy without slowing down the overall registration process.
2Measurement precision
If manual verification of each commodity is required, then recognition accuracy is improved, but operation complexity and time consumption increase
Solution Approach 1:
Instead of requiring full manual verification of every commodity, the system performs partial verification by displaying only the recognized information and allowing users to cancel only when necessary. This partial action approach maintains high accuracy for most items while avoiding the complexity of complete manual checking.
3Extent of automation
If AI image recognition is implemented, then automation level is improved, but reliability deteriorates due to misrecognition of similar commodities
Solution Approach 1:
The system implements a feedback mechanism where users can cancel misrecognized commodities and this information feeds back into the system to improve AI recognition accuracy over time, thereby maintaining high reliability while preserving automation.
Solution Approach 2:
The system performs preliminary action by displaying recognized commodity information to users before final registration, allowing users to correct errors in advance. This preliminary verification step ensures reliable registration while maintaining automation.
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
The system effectively reduces misrecognition errors by allowing users to correct misidentified commodities, ensuring accurate registration and improving the overall efficiency of the cart POS system.
Implementation Method 1
an imaging device that captures an image of a place where a commodity is put
Data Source
AI summary
In accordance with an embodiment, a commodity registration terminal detects an object on the basis of an image captured by an imaging device. The commodity registration terminal determines a commodity on the basis of the image including the detected object. The commodity registration terminal outputs a notice indicating cancellation of the determined commodity on the basis of an operation of a cancellation instruction made by a user.