Robotics & Machine Learning Daily News2024,Issue(MAY.20) :120-124.

'Systems And Methods For Video-Based Fraud Detection' in Patent Application Appr oval Process (USPTO 20240144683)

Robotics & Machine Learning Daily News2024,Issue(MAY.20) :120-124.

'Systems And Methods For Video-Based Fraud Detection' in Patent Application Appr oval Process (USPTO 20240144683)

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Abstract

The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Criminals attempt to commit fraud by targeting automated teller machines (ATMs) and other automated systems that collect and us e financial information (e.g., a gas pump, a vending machine). One way criminals attempt to commit fraud is by installing fraud devices that capture financial i nformation, including card readers, cameras, pin-pad overlays, and the like. The se fraud devices are used to compromise the accounts of anyone who uses the targ eted system. If not identified and removed, such fraud devices can cause signifi cant financial loses and disruption. Typically, the presence of fraud devices is not identified for twenty-five days from the first use because the criminals wh o install the devices collect account information for many accounts before remov ing the fraud devices and using the account information to rob their victims.

Key words

Cyborgs/Emerging Technologies/Legal Is sues/Machine Learning/U.S. Bank National Association

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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