VERIFICATION OF FRAUDULENT ACTIVITIES AT A SELF-CHECKOUT TERMINAL
First Claim
Patent Images
1. A method of verifying a possible activity of interest at a self-checkout terminal, the method operated via a computer processing unit, comprising the steps of:
- obtaining a video feed generated from a video source wherein the video feed is generated by monitoring an item during at least a portion of a transaction time, the item being located at a transaction area;
obtaining a data feed from a data source wherein the data feed is generated by monitoring the item during at least a portion of the transaction time, the item being located at the transaction area;
analyzing the video feed to identify the possible activity of interest;
analyzing the data feed to identify the possible activity of interest; and
issuing an alert if both the analyzed video feed and the analyzed data feed confirm the possible activity of interest.
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Abstract
A verification method of a fraudulent activity taking place at a self-checkout terminal is disclosed. The method verifies the fraudulent activity by confirming an incident of the fraudulent activity with multiple data generated by monitoring the transaction area and the bagging area of the self-checkout terminal. A human validation is optionally performed to verify machine-identified incidents.
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Citations
19 Claims
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1. A method of verifying a possible activity of interest at a self-checkout terminal, the method operated via a computer processing unit, comprising the steps of:
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obtaining a video feed generated from a video source wherein the video feed is generated by monitoring an item during at least a portion of a transaction time, the item being located at a transaction area; obtaining a data feed from a data source wherein the data feed is generated by monitoring the item during at least a portion of the transaction time, the item being located at the transaction area; analyzing the video feed to identify the possible activity of interest; analyzing the data feed to identify the possible activity of interest; and issuing an alert if both the analyzed video feed and the analyzed data feed confirm the possible activity of interest. - View Dependent Claims (2, 3, 4, 5)
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6. A method of verifying a possible fraudulent activity at a self-checkout terminal, the method operated via a computer processing unit, comprising the steps of:
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receiving an unexpected weight data of an item from the self-checkout terminal, the weight sensor communicatively coupled with the self-checkout terminal wherein the self-checkout terminal obtains the unexpected weight data of the item being placed on a bagging area; identifying the possible fraudulent activity based on the unexpected weight data, wherein the unexpected weight data is obtained to identify whether the item from the weight sensor correspond with an expected weight tolerance; and identifying the possible fraudulent activity based on a data feed, wherein the data feed is generated from a data source monitoring the item at a transaction area, the data feed being generated during at least a portion of a transaction time. - View Dependent Claims (7, 8, 9, 10, 11, 12, 13)
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14. A system for verifying a possible fraudulent activity at a self-checkout terminal comprising:
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a computer processing unit operable to analyze a plurality of data feed generated during at least a portion of a transaction time, the plurality of data feeds being generated by monitoring an item being transacted at the self-checkout terminal, the computer processing unit being operable to correlate each of the plurality of data feeds with a preset data associating the item to identify the possible fraudulent activity, the computer processing unit configured to issue an alert when at least two of the plurality of data feeds confirm the identified possible fraudulent activity, wherein the plurality of data feeds comprises; a video feed, a transaction data, and an unexpected weight data; a video source communicatively coupled with the computer processing unit, the video source operable to generate the video feed of the item placed at a transaction area; a weight sensor communicatively coupled with the self-checkout terminal, wherein the unexpected weight data is transmitted to the computer processing unit from the self-checkout terminal, the unexpected weight data being obtained to identify whether a weight of the item measured from the weight sensor correspond with an expected weight tolerance; and the self-checkout terminal communicatively coupled to the computer processing unit. - View Dependent Claims (15)
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16. A method of identifying a loss incident at a self-checkout terminal, the method operated via a computer processing unit, comprising the steps of:
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obtaining a video feed, wherein the video feed is generated from a video source monitoring an item at a transaction area, the video feed being generated during at least a portion of a transaction time; identifying the loss incident based on the obtained video feed by a video analysis performed by the computer processing unit; modifying the video feed wherein the video feed is simplified; transmitting the modified video feed to a human validation terminal to perform a human validation; receiving a human validation response from the human validation terminal; identifying the loss incident based on the human validation; and issuing an alert based on the video analysis and the human validation response. - View Dependent Claims (17)
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18. A method of verifying a possible fraudulent activity at a self-checkout terminal, the method operated via a computer processing unit, comprising the steps of:
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obtaining a video feed wherein the video feed is generated from a video source monitoring an item during at least a portion of a transaction time, the item being located at a transaction area; obtaining an unexpected weight data of the item from the self-checkout terminal, a weight sensor communicatively coupled with the self-checkout terminal wherein the self-checkout terminal obtains the unexpected weight data of the item being placed on a bagging area, the unexpected weight data being obtained to identify whether a weight of the item measured from the weight sensor correspond with an expected weight tolerance; analyzing the video feed to identify the possible fraudulent activity by performing a video analysis; modifying the video feed wherein the video feed is simplified; transmitting the modified video feed to a human validation terminal to perform a human validation; receiving a human validation response from the human validation terminal; identifying the possible fraudulent activity based on the human validation; and issuing an alert if all of the analyzed video feed, the unexpected weight data, and the human validation response confirm the possible fraudulent activity.
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19. A method of verifying a possible fraudulent activity at a self-checkout terminal, the method operated via a computer processing unit, comprising the steps of:
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receiving an unexpected weight data of an item from the self-checkout terminal, the weight sensor communicatively coupled with the self-checkout terminal wherein the self-checkout terminal obtains the unexpected weight data of the item being placed on a bagging area; identifying the possible fraudulent activity based on the unexpected weight data, wherein the unexpected weight data is obtained to identify whether a weight of the item from the weight sensor correspond with an expected weight tolerance; modifying a video feed wherein the video feed is simplified, wherein the video feed is generated from a video source monitoring the item during at least a portion of the transaction time, the item being located at the transaction area; transmitting the modified video feed to a human validation terminal to perform a human validation; receiving a human validation response from the human validation terminal; and verifying the identified possible fraudulent activity based on the human validation response.
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Specification