Method and apparatus for analysis of user traffic within a predefined area
View Patent ↗Multiple packets are received that were transmitted by multiple mobile electronic device sensors located in a predefined area. The packets each include data detected by the sensors of multiple mobile electronic devices. At least a portion of the collected data is stored including multiple unique device identifiers that belong to multiple mobile electronic devices. Responsive to determining that at least two of the unique device identifiers are sequential, a set of values based on the at least two unique devices identifiers are associated as belonging to a same one of the mobile electronic devices.
1. A method, comprising:
receiving a set of packets from at least one mobile electronic device sensor located in a predefined area, wherein the set of packets includes data detected by the at least one sensor of at least a first mobile electronic device;
storing at least a portion of the data that is included in the set of packets as a stored portion of data, wherein the stored portion of data includes a plurality of unique device identifiers that belong to the first mobile electronic device;
determining that at least two of the unique device identifiers are sequential;
responsive to determining that at least two of the unique device identifiers are sequential, associating a set of values based on the at least two unique device identifiers as belonging to a same first mobile electronic device;
determining a set of one or more device locations that the first mobile electronic device has been based at least in part on the data detected by the at least one sensor for the at least two unique device identifiers; and
assigning attribute information to a device profile based on demographic data of a set of one or more physical locations that correlate to the set of device locations, wherein the device profile is created for the first mobile electronic device.
2. The method of claim 1 , wherein the stored portion of data further includes detection times of the at least one mobile electronic device, and wherein prior to associating the at least two unique device identifiers, determining that the at least two unique device identifiers were detected within a predefined period of time.
3. The method of claim 1 , wherein the set of values includes encrypted versions of the at least two unique device identifiers.
4. The method of claim 1 , wherein associating the at least two unique device identifiers includes performing the following:
encrypting each of the at least two unique device identifiers; and
associating each of the at least two encrypted unique device identifiers as belonging to the first mobile electronic device.
5. The method of claim 1 , further comprising: storing those unique identifiers in fall the device profile.
6. The method of claim 1 , wherein the at least one sensor is selected from the group consisting of a WiFi detector, a Bluetooth receiver, and a Radio Frequency (RF) receiver.
7. The method of claim 1 , wherein the mobile electronic device is selected from the group consisting of a WiFi enabled device, a cellular phone, and a Bluetooth enabled device.
8. An apparatus in a data processing center, comprising:
a set of one or more processors;
a non-transitory machine-readable storage medium that stores instructions, that when executed by the set of processors, cause the set of processors to perform the following:
receive a set of packets from at least one mobile electronic device sensor located in a predefined area, wherein the set of packets includes data detected by the at least one sensor of at least a first mobile electronic device;
store at least a portion of the data that is included in the set of packets as a stored portion of data wherein the stored portion of data includes a plurality of unique device identifiers that belong to the first mobile electronic device;
determine that at least two of the unique device identifiers are sequential;
responsive to a determination that at least two of the unique device identifiers are sequential, associate a set of values based on the at least two unique device identifiers as belonging to a same first mobile electronic device;
determine a set of one or more device locations that he first mobile electronic device has been based at least in part on the data detected by the at least one sensor for the at least two unique device identifiers; and
assign attribute information to a device profile based on demographic data of a set of one or more physical locations that correlate to the set of device locations, wherein the device profile is created for the first mobile electronic device.
9. The apparatus of claim 8 , wherein the stored portion of data further includes detection times of the at least one mobile electronic device, and wherein prior to an association of the at least two unique device identifiers, the set of processors are further to determine that the at least two unique device identifiers were detected within a predefined period of time.
10. The apparatus of claim 8 , wherein the set of values includes encrypted versions of the at least two unique device identifiers.
11. The apparatus of claim 8 , wherein the set of processors is configured to associate the at least two unique device identifiers by performing the following:
encrypting each of the at least two unique device identifiers; and
associating each of the at least two encrypted unique device identifiers as belonging to the first mobile electronic device.
12. The apparatus of claim 8 , further comprising instructions that when executed by the set of processors, cause the set of processors to store those unique identifiers in the device profile.
13. The apparatus of claim 8 , wherein the at least one sensor is selected from the group consisting of a WiFi detector, a Bluetooth receiver, and a Radio Frequency (RF) receiver.
14. The apparatus of claim 8 , wherein the mobile electronic device is selected from the group consisting of a WiFi enabled device, a cellular phone, and a Bluetooth enabled device.