POS Scale Zero Validation via Image Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Point of Sale (POS) terminal barcode scanners face accuracy issues due to incorrect zero-weight settings, particularly when users press the zero reset button with items on the scale, leading to confusion in self-checkout and potential theft, as users may inadvertently remove weight intentionally or unintentionally.
Innovation Solution
Implementing imaging devices at POS terminals to capture images of the scale surface, processing these images to determine if items are present, and providing instructions via output devices to remove items before zeroing the scale, ensuring accurate weight measurements and preventing false zero settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the scale zero reset button is pressed without verifying the scale surface is empty, then the zero weight setting is quickly reset, but the measurement precision deteriorates due to false zero settings
Solution Approach 1:
The system performs preliminary verification by capturing an image of the scale surface and processing it to detect items before allowing the zero reset operation. This preliminary check prevents false zero settings by ensuring the scale surface is empty before resetting, thus maintaining measurement precision while enabling quick zero reset when appropriate.
2Measurement precision
If imaging devices and image processing are added to verify scale surface, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The imaging device and image processing system are integrated into the existing POS terminal infrastructure, serving multiple functions: verifying scale surface emptiness, preventing false zero settings, and potentially providing visual feedback to users. This multi-functionality justifies the added complexity by delivering comprehensive solutions beyond mere measurement.
3Measurement precision
If manual verification of scale surface is required before zeroing, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs automatic image capture and processing to verify the scale surface, eliminating the need for manual verification by operators. The system serves itself by autonomously detecting items on the scale surface and preventing false zero settings, thus maintaining measurement precision while preserving ease of operation for legitimate use cases.
Data Source
AI summary
Various embodiments herein each include at least one of systems, devices, software, and methods that leverage images captured by imaging devices of product barcode scanners, which may include scanner-scale devices, and other imaging devices deployed at a Point of Sale (POS) terminal. One such embodiment, in the form of a method, includes identifying a scale-zero error condition and determining, based on a view of a scale surface provided by at least one imaging device, whether an item is present on the scale surface. In such embodiments, when no item is present on the scale surface, the method includes providing an instruction via an output device for proceeding with a scale zeroing process. Further in such embodiments, when an item is present on the scale surface, the method includes providing an instruction via the output device to remove the item present on the scale surface and restarting the method.


