FACE RECOGNITION BUSINESS MODEL AND METHOD FOR IDENTIFYING PERPETRATORS OF ATM FRAUD
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United States of America Patent
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N/A
Issued Date -
May 5, 2016
app pub date -
Oct 31, 2014
filing date -
Oct 31, 2014
priority date (Note) -
Abandoned
status (Latency Note)
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Abstract
A system and method for identifying perpetrators of ATM fraud. A subscription fee is collected for defined services for collecting, processing, and analyzing facial data. Facial data is acquired from a person conducting a transaction with an automated transaction system having a camera device. The facial data is linked to a transaction identifier including at least time and location associated with the transaction. The facial data and the transaction identifier are stored in a centralized repository. Upon request from an authorized subscriber to identify the person based on the transaction identifier, because the transaction is deemed fraudulent, the facial data associated with the transaction identifier is compared to facial profiles obtained from private, public, and law enforcement databases. Potential identity matches are generated based on the facial profiles. The potential identity matches are output to the authorized subscriber for further prosecutorial and/or investigative actions.
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Family
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