Passive Patron Identification Systems And Methods
First Claim
1. A method of controlling a patron profile database, the method comprising:
- in response to detection of a patron, receiving N sets of identification data for the patron captured by N passive data capture devices, respectively,wherein N is an integer greater than one, andwherein the N passive data capture devices include at least two of a wireless transceiver, a first camera arranged to capture images of faces of patrons, a microphone, a scent sensor, an infrared transceiver, a second camera arranged to capture images of wheels of vehicles, and at least one of a third camera arranged to capture images of front portions of vehicles, and a fourth camera arranged to capture images of rear portions of vehicles;
by a server, calculating overall confidence values for a plurality of unique patron identifiers, respectively, the calculating the overall confidence values including, for each unique patron identifier of the plurality of unique patron identifiers;
by the server, calculating N partial confidence values for that unique patron identifier based on N comparisons of the N sets of identification data with N sets of stored identification data, respectively, associated with that unique patron identifier;
by the server, based on the N partial confidence values of that unique patron identifier and N weighting values, respectively, calculating the overall confidence value for that unique patron identifier, the overall confidence value for that unique patron identifier indicating a level of confidence that the patron is associated with that unique patron identifier;
by the server, selecting one unique patron identifier of the plurality of unique patron identifiers having the highest one of the overall confidence values;
by the server, when the overall confidence value of the selected one unique patron identifier is less than a predetermined value;
creating a new unique patron identifier in a database; and
storing the N sets of identification data captured using the N passive data capture devices, respectively, in association with the new unique patron identifier; and
by the server, when the overall confidence value of the selected one unique patron identifier is greater than the predetermined value, selectively updating at least one of the N sets of stored identification data associated with the selected one unique patron identifier based on at least one of the N sets of identification data captured using the N passive data capture devices, respectively.
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Accused Products
Abstract
A method includes: receiving N sets of identification data for the patron captured by N passive data capture devices, respectively; and for each unique patron identifier: calculating N partial confidence values for that unique patron identifier based on N comparisons of the N sets of identification data with N sets of stored identification data, respectively, associated with that unique patron identifier; and based on the N partial confidence values of that unique patron identifier and N weighting values, respectively, calculating an overall confidence value for that unique patron identifier. One unique patron identifier having a highest overall confidence value is selected. When the selected overall confidence value is less than a predetermined value: a new unique patron identifier is created in a database; and the N sets of identification data captured using the N passive data capture devices, respectively, is stored in association with the new unique patron identifier.
5 Citations
40 Claims
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1. A method of controlling a patron profile database, the method comprising:
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in response to detection of a patron, receiving N sets of identification data for the patron captured by N passive data capture devices, respectively, wherein N is an integer greater than one, and wherein the N passive data capture devices include at least two of a wireless transceiver, a first camera arranged to capture images of faces of patrons, a microphone, a scent sensor, an infrared transceiver, a second camera arranged to capture images of wheels of vehicles, and at least one of a third camera arranged to capture images of front portions of vehicles, and a fourth camera arranged to capture images of rear portions of vehicles; by a server, calculating overall confidence values for a plurality of unique patron identifiers, respectively, the calculating the overall confidence values including, for each unique patron identifier of the plurality of unique patron identifiers; by the server, calculating N partial confidence values for that unique patron identifier based on N comparisons of the N sets of identification data with N sets of stored identification data, respectively, associated with that unique patron identifier; by the server, based on the N partial confidence values of that unique patron identifier and N weighting values, respectively, calculating the overall confidence value for that unique patron identifier, the overall confidence value for that unique patron identifier indicating a level of confidence that the patron is associated with that unique patron identifier; by the server, selecting one unique patron identifier of the plurality of unique patron identifiers having the highest one of the overall confidence values; by the server, when the overall confidence value of the selected one unique patron identifier is less than a predetermined value; creating a new unique patron identifier in a database; and storing the N sets of identification data captured using the N passive data capture devices, respectively, in association with the new unique patron identifier; and by the server, when the overall confidence value of the selected one unique patron identifier is greater than the predetermined value, selectively updating at least one of the N sets of stored identification data associated with the selected one unique patron identifier based on at least one of the N sets of identification data captured using the N passive data capture devices, respectively. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. An ordering system comprising:
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N passive data capture devices that, in response to detection of a patron, capture N sets of identification data for the patron, respectively, wherein N is an integer greater than one, and wherein the N passive data capture devices include at least two of a wireless transceiver, a first camera arranged to capture images of faces of patrons, a microphone, a scent sensor, an infrared transceiver, a second camera arranged to capture images of wheels of vehicles, and at least one of a third camera arranged to capture images of front portions of vehicles, and a fourth camera arranged to capture images of rear portions of vehicles; a confidence calculation module that calculates overall confidence values for a plurality of unique patron identifiers, respectively, the calculation of the overall confidence values including, for each unique patron identifier of the plurality of unique patron identifiers; calculating N partial confidence values for that unique patron identifier based on N comparisons of the N sets of identification data with N sets of stored identification data, respectively, associated with that unique patron identifier; and based on the N partial confidence values of that unique patron identifier and N weighting values, respectively, calculating the overall confidence value for that unique patron identifier, the overall confidence value for that unique patron identifier indicating a level of confidence that the patron is associated with that unique patron identifier; a selection module that selects one unique patron identifier of the plurality of unique patron identifiers having the highest one of the overall confidence values; a control module that; when the overall confidence value of the selected one unique patron identifier is less than a predetermined value; creating a new unique patron identifier in a database; and storing the N sets of identification data captured using the N passive data capture devices, respectively, in association with the new unique patron identifier; and when the overall confidence value of the selected one unique patron identifier is greater than the predetermined value, selectively updates at least one of the N sets of stored identification data associated with the selected one unique patron identifier based on at least one of the N sets of identification data captured using the N passive data capture devices, respectively. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40)
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Specification