| CPC G08B 15/004 (2013.01) [G06T 7/20 (2013.01); G06T 7/246 (2017.01); G06V 20/13 (2022.01); G06V 20/52 (2022.01); G06V 20/53 (2022.01); G06V 40/10 (2022.01); G06V 40/161 (2022.01); G06V 40/20 (2022.01); G06V 40/23 (2022.01); G08B 13/19608 (2013.01); G08B 13/19613 (2013.01); H04N 7/181 (2013.01); H04N 7/185 (2013.01); H04N 23/45 (2023.01); H04W 8/005 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/30232 (2013.01)] | 12 Claims |

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1. A method for analytical recognition comprising:
capturing by one or more video cameras video data including a video frame having a person;
capturing mobile communication device data by one or more antennae, the mobile communication device data including an identifier of a mobile communication device associated with the person;
correlating portions of the video data to respective portions of the captured mobile communication device data based on one or more keys included within the video data and the mobile communication device data; and
generating a profile of the person associated with the correlated portions of video data and the mobile communication device data, wherein the profile includes profile data including at least one of the video data, the mobile communication device data, and additional data, the additional data including sales data or user-inputted data such as name, date of birth, other phone data, email address, or residential address,
wherein the attributes include at least one of whether the person is a return shopper, a first-time shopper, an employee, a passerby, whether the person shops at other locations of a particular retailer, or whether the person was engaged by an employee while located at a store.
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