AR Kiosk Tampering Detection via Physical Spec Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Unauthorized actors are becoming increasingly sophisticated in using skimming devices at self-service kiosks to obtain user information, making it difficult for users to detect tampering, such as card skimmers and keypad skimmers, which alter the physical specifications of the kiosk.
Innovation Solution
The implementation of an augmented reality system that captures image data of the self-service kiosk, compares it to pre-stored specifications, and identifies anomalies, allowing for real-time or near real-time detection of tampering by analyzing images using machine-readable codes and object recognition techniques, and executing mitigating actions if anomalies are found.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If skimming devices are attached to card readers or keypads at self-service kiosks, then unauthorized users can obtain payment or personal information without permission, but the devices become difficult for users to identify based on appearance
Solution Approach 1:
The patent uses augmented reality to create a virtual copy or representation of the physical kiosk environment. By capturing images of the kiosk and overlaying them with virtual indicators and specifications, the system creates an augmented reality view that makes tampering visible without requiring direct physical inspection. This allows users to detect skimming devices through the augmented reality interface rather than relying on visual identification alone.
Solution Approach 2:
The patent introduces an intermediary system consisting of image capture devices, processing systems, and augmented reality display devices. This intermediary layer between the physical kiosk and the user enables detection of tampering by capturing images, comparing them to pre-stored specifications, and presenting the results through augmented reality overlays. The intermediary system bridges the gap between physical tampering and user detection.
2Speed
If augmented reality image capture and analysis is performed in real-time, then tampering detection speed increases, but system complexity and computational requirements increase
Solution Approach 1:
The patent performs preliminary actions by pre-storing physical specification data of the kiosk before tampering occurs. The system captures and stores images of the kiosk's expected appearance, dimensions, and components in advance. When tampering is suspected, the system compares current images against these pre-stored specifications rather than performing complex analysis from scratch, significantly reducing real-time computational requirements while maintaining fast detection speeds.
Solution Approach 2:
The patent replaces complex mechanical or physical inspection methods with optical and computational methods. Instead of requiring physical measurement tools or manual inspection, the system uses image capture devices to obtain visual data, processes this data through computational algorithms, and presents results through augmented reality displays. This substitution of mechanical inspection with optical-computational methods simplifies the overall system while enabling real-time detection.
Data Source
AI summary
Arrangements for tampering detection at a self-service kiosk based on augmented reality are provided. In some aspects, a computing platform may receive image data from an augmented reality computing device. The image data may include images of a self-service kiosk located proximal to the augmented reality computing device. The image data may be analyzed to identify an identifier of the self-service kiosk. The identifier may be used to retrieve pre-stored physical specification data of the self-service kiosk. In some examples, the image data may be further analyzed to determine current physical specifications of the self-service kiosk. The current specifications may be compared to the pre-stored specifications to determine whether an anomaly exists. If an anomaly exists, a mitigating action may be generated and sent to the self-service kiosk for execution. If an anomaly is not identified, a notification may be generated and transmitted to the augmented reality computing device.