Training detection model using output of language model applied to event information
US-2024419941-A1 · Dec 19, 2024 · US
US2025278695A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2025278695-A1 |
| Application number | US-202519212488-A |
| Country | US |
| Kind code | A1 |
| Filing date | May 19, 2025 |
| Priority date | Aug 7, 2017 |
| Publication date | Sep 4, 2025 |
| Grant date | — |
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Systems and techniques are provided for detecting subject interest in identified items in an area of real space. The system identifies a subject in the area of real space by linking the subject to a user account. The system detects the identified subject's interest in one or more identified items in the area of real space. The system stores the identified items for which interest was identified as entries in a database, and the entries include data attributes associated with at least one of a subject identifier, an item identifier, and a location of the item. The system analyzes the entries in the database to determine a correlation between data attributes in the database.
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1 . A method including: identifying a subject in an area of real space by linking the subject to a user account, wherein user data is associated with the user account, the user data including at least one of: a subject identifier for the identified subject, and data associated with one or more actions taken by the identified subject in the area of real space; detecting interest, by the identified subject, in one or more identified items positioned at locations in the area of real space over time; storing the identified items for which interest was identified as entries in a database, an entry including data attributes associated with at least one of: the subject identifier for the identified subject, an item identifier for at least one identified item, and a location of the at least one identified item in the area of real space; analyzing the entries in the database to determine a correlation between two or more data attributes in the database; and: storing, in association with the user account linked to the identified subject, the determined correlation. 2 . The method of claim 1 , further including generating a heat map of at least a portion of the area of real space, wherein the heat map identifies locations, in the area of real space, of identified items for which the interest by the identified subject exceeds a threshold. 3 . The method of claim 1 , further including calculating a unique visitor directional impression from the entries in the database, wherein the unique visitor directional impression identifies a number of unique or distinct subjects who have an interest in identified items. 4 . The method of claim 1 , further including calculating unique visitor directional impressions, from the entries in the database and over a period of time, wherein the unique visitor directional impressions identify a number of unique or distinct subjects who have an interest in identified items. 5 . The method of claim 1 , further including a determining length of time for which the identified subject has interest in a particular identified item and storing the determined length of time in an entry in the entries in the database. 6 . The method of claim 1 , further including calculating a length of time for which a particular identified item is of interest to the identified subject during the identified subject's presence in the area of real space. 7 . The method of claim 1 , further including determining a particular location in the area of real space at which a particular item is of interest to the identified subject and displaying a view of the particular location. 8 . The method of claim 1 , further including calculating a distance of the identified subject from an item positioned at a location in the area of real space, the distance being used to identify an interest of the identified subject in the item. 9 . The method of claim 8 , wherein the calculating of the distance of the identified subject from the item uses a location of a neck joint of the identified subject and a location of an inventory display structure in which the item is positioned. 10 . The method of claim 1 , further including updating a store planogram using the entries in the database and using the updated store planogram to facilitate stocking of items in the area of real space. 11 . A system including one or more processors and a memory, the memory comprising instructions that, when executed, cause the one or more processors to perform operations comprising: identifying a subject in an area of real space by linking the subject to a user account, wherein user data is associated with the user account, the user data including at least one of: a subject identifier for the identified subject, and data associated with one or more actions taken by the identified subject in the area of real space; detecting interest, by the identified subject, in one or more identified items positioned at locations in the area of real space over time; storing the identified items for which interest was identified as entries in a database, an entry including data attributes associated with at least one of: the subject identifier for the identified subject, an item identifier for at least one identified item, and a location of the at least one identified item in the area of real space; analyzing the entries in the database to determine a correlation between two or more data attributes in the database; and: storing, in association with the user account linked to the identified subject, the determined correlation. 12 . The system of claim 11 , wherein the operations further includes generating a heat map of at least a portion of the area of real space, wherein the heat map identifies locations, in the area of real space, of identified items for which the interest by the identified subject exceeds a threshold. 13 . The system of claim 11 , wherein the operations further include calculating a unique visitor directional impression from the entries in the database, wherein the unique visitor directional impression identifies a number of unique or distinct subjects who have in interest in identified items. 14 . The system of claim 11 , wherein the operations further include determining a length of time for which the identified subject has interest in a particular identified item and storing the determined length of time in an entry in the entries. 15 . The system of claim 11 , wherein the operations further include calculating a length of time for which a particular identified item is of interest to the identified subject during the identified subject's presence in the area of real space. 16 . The system of claim 11 , wherein the operations further include determining a particular location in the area of real space at which a particular item is of interest to the identified subject and displays a view of the particular location. 17 . The system of claim 11 , wherein the operations further include calculating a distance of the identified subject from an item positioned at a location in the area of real space, the distance being used to identify an interest of the identified subject in the item. 18 . The system of claim 11 , wherein the operations further include updating a store planogram using the entries in the database and using the updated store planogram to facilitate stocking of items in the area of real space. 19 . A non-transitory computer readable storage medium impressed with computer program instructions to detect gaze direction of subjects in an area of real space, the instructions, when executed on a processor, implement a method comprising: identifying a subject in an area of real space by linking the subject to a user account, wherein user data is associated with the user account, the user data including at least one of: a subject identifier for the identified subject, and data associated with one or more actions taken by the identified subject in the area of real space; detecting interest, by the identified subject, in one or more identified items positioned at locations in the area of real space over time; storing the identified items for which interest was identified as entries in a database, an entry including data attributes associated with at least one of: the subject identifier for the identified subject, an item identifier for at least one identified item, and a location of the at least one identified item in the area of real space; analyzing the entries in the database to determine a correlation between two or more data attributes in the da
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