NCR’s patent involves real-time detection of payment card slot tampering at transaction terminals using overhead cameras. When suspicious activity is detected, automated actions are triggered, such as shutting down the card reader and notifying authorities. The method includes capturing account numbers on cards and generating video clips for evidence. GlobalData’s report on NCR gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on NCR, Automated Teller Machines (ATM) was a key innovation area identified from patents. NCR's grant share as of January 2024 was 75%. Grant share is based on the ratio of number of grants to total number of patents.
Real-time detection of payment card slot tampering at terminals
The granted patent (Publication Number: US11881088B2) outlines a method for detecting card slot tampering events at transaction terminals using images captured from cameras situated overhead or adjacent to the card reader module. The method involves analyzing the images for actions and objects associated with the hands of an operator in relation to the card slot, and sending alerts or notifications when tampering is identified. The system can capture account numbers on cards, generate video clips, and send alerts with relevant information to prevent fraudulent activities.
The method includes obtaining images from single or multiple cameras, placing bounding boxes around the operator's hands, calculating distances between hands and the card slot, and determining elapsed times within a configured distance. By processing visual features and known object identifiers, the system can raise a tampering event when a calculated score meets a threshold. Additionally, the method allows for actions such as shutting down terminal operations, retaining payment cards, and notifying financial institutions or law enforcement services. Another aspect involves using Machine-Learning Models (MLMs) to analyze images, identify objects in the user's hands, calculate distances, and determine tampering confidence values to trigger alerts and prevent fraudulent activities effectively.
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