Method and system for monitoring point of sale exceptions
First Claim
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1. A method for detecting fraud in a transactional environment, comprising:
- capturing video data of behavioral events corresponding to a predetermined transaction;
storing the captured video data in a first predetermined storage medium;
generating data corresponding to the predetermined transaction;
storing the generated data in a second predetermined storage medium;
determining event occurrences within the generated data; and
proactively generating a user-defined exception when a number of events within the generated data exceeds a predetermined threshold number of events, the user-defined exception comprising;
selected time-synchronized data within the generated data with respect to the determined event occurrences; and
a portion of the stored video signals corresponding to a predetermined amount of time corresponding to the determined event occurrences.
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Abstract
A method and system for monitoring point of sale exceptions includes the ability to proactively and automatically analyze POS transactional data for certain patterns or occurrences that typically indicate specific behavior at or near a POS terminal in connection with a sales related operation, retrieve time-correlated video segments of a specified length of time from a camera source associated with the POS terminal used to execute aforementioned transaction, and present the video and transaction data together without obstruction on the same user display for contemporaneous review.
77 Citations
31 Claims
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1. A method for detecting fraud in a transactional environment, comprising:
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capturing video data of behavioral events corresponding to a predetermined transaction;
storing the captured video data in a first predetermined storage medium;
generating data corresponding to the predetermined transaction;
storing the generated data in a second predetermined storage medium;
determining event occurrences within the generated data; and
proactively generating a user-defined exception when a number of events within the generated data exceeds a predetermined threshold number of events, the user-defined exception comprising;
selected time-synchronized data within the generated data with respect to the determined event occurrences; and
a portion of the stored video signals corresponding to a predetermined amount of time corresponding to the determined event occurrences.
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2. A method of managing events in a transactional environment, said method comprising the following steps:
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interfacing a plurality of electronic systems to a central computerized platform, said plurality of electronic systems including at least one point-of-sale (POS) system for providing transaction data indicative of sales in the transactional environment, and at least one video recording system for providing video signals generated within one or more retail locations associated with the transactional environment;
receiving and interfacing at least one datastream from each of the plurality of electronic systems to yield a collection of assembled data, said assembled data including transaction data from said at least one POS system and video data from said at least one video recording system;
synchronizing time signatures associated with each of the plurality of electronic systems, whereby all datastreams received from the plurality of electronic systems are formulated relative to a single time reference;
sorting and organizing the transaction data from the plurality of electronic systems to formulate a collection of discrete events;
comparing the events formulated in said step of sorting and organizing to one or more predetermined event definitions;
pro-actively identifying as transaction exceptions when the events formulated in said step of sorting and organizing meet or exceed the one or more predetermined event definitions provided in said comparing step;
correlating video data having the same time signatures as selected of the transaction exceptions with the transaction data corresponding to the selected of the transaction exceptions; and
providing notification to a user of the identified transaction exceptions. - View Dependent Claims (3, 4, 5, 6, 7, 8, 9, 10)
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11. A method of detecting and managing data events from a plurality of electronic systems, said method comprising the following steps:
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coupling each of a plurality of electronic systems to a central control system;
receiving and interfacing at least one datastream from each of the plurality of electronic systems to yield a collection of assembled data;
sorting and organizing the assembled data from the plurality of electronic systems to formulate a collection of discrete events, wherein the discrete events are independent from the assembled data and are relayed to a dedicated storage medium;
comparing the events formulated in said step of sorting and organizing to one or more predetermined event definitions;
pro-actively identifying as exceptions when the events formulated in said step of sorting and organizing meet or exceed the one or more predetermined event definitions provided in said comparing step;
correlating supplemental time-synchronized data to selected of the identified exceptions; and
providing notification to a user of the identified exceptions. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. A computer-based platform for integrating a plurality of electronic systems and correlating information outputs therefrom, said computer-based platform comprising:
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at least one interface module for establishing a connection between the computer-based platform and selected of the plurality of electronic systems and for obtaining data from said selected of the plurality of electronic systems;
a user interface for creating and maintaining user-defined criteria for characterizing the data from said plurality of electronic systems and for defining one or more event type associated with the data received from said plurality of electronic systems;
a data-processing procedure for transforming the data from said plurality of electronic systems into a common format, parsing the commonly formatted data collected from said plurality of electronic systems, and posting independent data events identified within the commonly formatted data to an associated storage medium;
an exception manager for determining when events identified via the data-processing procedure meet or exceed a trigger definition, thus corresponding to an exception; and
a notification engine for proactively relaying notification information regarding selected events and exceptions to a user. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31)
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Specification