Self-Service POS Camera Orientation Shift Detection
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Solution Overview
Problem
Existing self-service POS terminals face challenges in detecting and preventing fraudulent acts due to camera orientation shifts, which can be caused by malicious actions or environmental factors like earthquakes, leading to inconsistencies in imaging and potential errors in sales data processing.
Innovation Solution
A sales data processing apparatus equipped with a camera that acquires images of the operator, a user input unit, and a controller to perform registration processing, acquire reference and operational images, analyze image shifts, and initiate countermeasures if the imaging range has changed, using a motor to adjust the camera's orientation and prevent fraudulent operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the camera is positioned outside the main housing to provide overhead imaging, then the imaging coverage is improved, but the camera becomes vulnerable to orientation shifts and fraudulent manipulation
Solution Approach 1:
The system performs preliminary action by acquiring a reference image before processing sales transactions, establishing a baseline for camera orientation. This reference image is stored and used for subsequent comparison to detect any orientation shifts during operation, preventing fraudulent acts before they can compromise the system.
Solution Approach 2:
The system implements feedback by continuously comparing current images against the reference image using image analysis. When orientation shifts are detected through this feedback mechanism, the system automatically stops sales processing, creating a closed-loop control system that maintains imaging reliability.
2Measurement precision
If the camera orientation is fixed to maintain consistent imaging, then detection accuracy is improved, but the system cannot adapt to environmental changes or malicious repositioning
Solution Approach 1:
The system applies dynamics by transitioning from a static camera orientation assumption to a dynamic detection approach. Instead of fixing the camera physically, the system dynamically compares image sequences to detect orientation changes, allowing it to adapt to both environmental shifts and malicious repositioning while maintaining fraud detection accuracy.
Solution Approach 2:
The feedback mechanism continuously monitors image orientation by comparing current frames against the reference image. This real-time feedback enables the system to detect and respond to orientation changes, maintaining measurement precision regardless of whether changes are due to environmental factors or fraudulent actions.
3Reliability
If image analysis is performed continuously to detect orientation shifts, then fraud prevention is improved, but processing time and computational resources increase
Solution Approach 1:
The system applies partial action by performing image analysis selectively rather than continuously. Image comparison against the reference is triggered only at relevant moments in the sales process, providing sufficient fraud prevention capability while avoiding the time loss and computational overhead of continuous analysis.
Data Source
AI summary
According to an embodiment, a sales data processing apparatus includes a camera positioned to acquire images of a region around the sales data processing apparatus and a user input unit permitting a user to operate the sales data processing apparatus. A controller is configured to perform registration processing on items in a sales transaction, acquire a first image from the camera, acquire a second image from the camera after the first image, and then acquire an image analysis comparing the first image to the second image to determine whether the camera has shifted position between the acquisition of the first image and the second image. If the camera has shifted between the acquisition of the first image and the second image, the controller performs countermeasure processing, such as pausing the sales data processing, issuing a warning notification, or attempting to return the camera to the previous position.