Trusted Scan Authorization for Retail Model Updates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional retail checkout systems incorrectly attribute scans of items with updated packaging as ticket-switching, requiring manual intervention and additional scans, leading to resource wastage and customer inconvenience.
Innovation Solution
A method and system that utilize a data capture device to generate an authorized payload based on captured images of unidentified objects with updated packaging, allowing seamless, automated model updates to accurately identify such items, thereby reducing false ticket-switching events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the model is updated automatically with images of unidentified objects, then the model's ability to identify items with updated packaging is improved, but the risk of updating with unauthorized or incorrect data increases
Solution Approach 1:
An authorization verification module is introduced as an intermediary between the model update mechanism and the external image data source. This module verifies authorization tokens or credentials before allowing any model updates, ensuring that only authenticated sources can modify the model. The intermediary validates each update request against a whitelist of authorized devices or users, preventing unauthorized updates while enabling legitimate model adaptations to updated packaging.
2Measurement precision
If manual intervention is required to verify ticket-switching events, then the accuracy of fraud detection is improved, but the checkout process time and resource consumption increase
Solution Approach 1:
The system performs preliminary verification by checking authorization status and comparing image data against the model before checkout completion. By proactively verifying item identification and detecting packaging updates in advance, the system resolves potential ticket-switching ambiguities before they require manual intervention. This preliminary action eliminates the need for time-consuming manual verification during the checkout process.
Solution Approach 2:
The system implements a feedback mechanism where the model continuously compares scanned item barcodes against captured images, and when discrepancies are detected, the system automatically initiates verification protocols. The feedback loop provides real-time information about potential ticket-switching events, enabling the system to either auto-resolve the issue or alert staff only when necessary, thereby reducing unnecessary manual intervention and checkout delays.
3Measurement precision
If additional scans are performed to verify item identity, then the accuracy of item identification is improved, but the resource consumption and checkout efficiency deteriorate
Solution Approach 1:
The system enables self-service verification by automatically comparing barcode scans against the image recognition model and resolving identification discrepancies without requiring additional manual scans or staff intervention. The model autonomously determines whether an unidentified object represents a legitimate packaging update or a ticket-switching event, eliminating the need for redundant scanning operations and maintaining high checkout efficiency while ensuring accurate item identification.
Data Source
AI summary
Devices, systems, and methods for using trusted scans to initiate a model update are provided. A data capture device may capture images of an unidentified object, and generate a payload based upon analysis of the captured images. The payload includes an object identifier corresponding to an object a model is configured to identify, and an indication the payload authorized or not authorized. The data capture device transmits the payload to a computing device. Responsive to the payload indicating the payload is authorized, the computing device performs a model update operation, and responsive to the payload indicating the payload is not authorized, the computing device refrains from performing the model update operation.