Barcode Scanner Anomaly Detection via POS Feedback Loop
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In self-checkout environments, optical code scanning devices often fail to read codes due to improper item orientation or occulted codes, leading to 'no read' transactions, which can be either unintentional or fraudulent, and require human monitoring to detect anomalies.
Innovation Solution
A system where a scanning device detects item-entry and item-exit events, transmitting notifications to a POS host device, which initiates anomaly detection actions such as video recording and fraud analysis, minimizing human intervention and enhancing real-time anomaly detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If optical code scanning devices are incorporated into self-checkout environments to reduce personnel expense, then productivity is improved, but reliability deteriorates due to increased scanning failures from improper item orientation or occulted codes
Solution Approach 1:
The system continuously monitors scanning transactions and provides feedback about scanning status to both the user and staff. When scanning failures occur, the system notifies users and can alert staff, creating a feedback loop that improves both scanning reliability and user guidance without reducing productivity
Solution Approach 2:
A camera system acts as an intermediary between the scanning device and the user/staff. The camera captures images of items being scanned and transmits them to a server for analysis, serving as a mediator that enables monitoring and guidance without requiring direct human intervention at the scanning point
2Reliability
If cameras are used to monitor scanning operations to reduce no-read transactions, then reliability is improved, but device complexity increases and requires human monitoring
Solution Approach 1:
The system performs self-monitoring and self-diagnosis through automated image capture and analysis. The camera system automatically captures scanning events, transmits images to the server, and receives instructions without requiring continuous human monitoring, enabling the system to service itself and reducing operational complexity
Solution Approach 2:
The patent replaces manual visual monitoring with an automated optical-mechanical system. The camera and server-based image analysis system substitutes for human eyes and judgment, automatically detecting scanning anomalies and providing guidance without requiring staff to physically monitor each scanning transaction
3Reliability
If automated anomaly detection is implemented to detect fraud, then reliability is improved, but loss of information increases due to potential false positives requiring investigation
Solution Approach 1:
The system applies partial monitoring by capturing images only at specific critical moments during scanning transactions rather than continuously. This selective imaging approach reduces the total amount of data processed and minimizes false positives while maintaining effective fraud detection capability at key decision points
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Systems and methods are provided for detecting anomalies, for instance, user-caused scanning anomalies, which occur during scanning transactions. Scanning-related events may be detected by a scanning device and notifications of such events may be transmitted from the scanning device to a point-of-sale (POS) host device coupled therewith. In aspects, the notifications transmitted to the POS host device include a unique code (e.g., a barcode or label) that is indicative of the corresponding event. Responsive to receipt of the event notifications and the nature thereof, the POS host device may initiate one or more anomaly detection actions.