Product analysis platform to perform a facial recognition analysis to provide information associated with a product to a user
US-10896420-B2 · Jan 19, 2021 · US
US11756037B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11756037-B2 |
| Application number | US-202117248241-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 15, 2021 |
| Priority date | Nov 28, 2018 |
| Publication date | Sep 12, 2023 |
| Grant date | Sep 12, 2023 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
A device may determine that a user has a threshold level of interest in a type of product. The device may receive an image of a face of the user, may perform a facial recognition analysis of the image, and may determine identification information of the user based on the facial recognition analysis. The device may identify account information associated with the user based on the identification information and may identify a product in an inventory that is associated with the type of product. The device may perform a preauthorization process associated with a transaction involving the product and the user based on the account information, and may perform an action associated with the transaction based on the preauthorization process.
Opening claim text (preview).
What is claimed is: 1. A method, comprising: receiving, by a kiosk device, an image of a face of a user; performing, by the kiosk device and using one or more artificial intelligence techniques, a facial recognition analysis of the image; determining, by the kiosk device, identification information of the user based on the facial recognition analysis; identifying, by the kiosk device, account information associated with the user based on the identification information; determining, by a product processing model and the kiosk device, that the user has a threshold level of interest in a type of product based on data identifying a location of the kiosk device and the account information, wherein the product processing model is trained using information that includes a plurality of transactions and a plurality of products to determine one or more transactions, of the plurality of transactions, with one or more products, of the plurality of products, that are associated with a probability of being of interest to the user or one or more other users, and wherein the product processing model determines a probability of the type of product being of interest to the user and outputs a score; identifying, by the kiosk device and based on determining that the user has score exceeds the threshold level of interest, a product in an inventory that is associated with the type of product, the inventory being a threshold distance from the location of the kiosk device; and providing, by the kiosk device and for display on the kiosk device, information associated with the product based on the inventory being within the threshold distance. 2. The method of claim 1 , further comprising: receiving a request for information associated with the type of product; and prompting the user for the image; and wherein determining that the user has the threshold level of interest comprises: determining that the user has the threshold level of interest based on receiving the image and based on the request. 3. The method of claim 1 , wherein the image was captured by a camera of the kiosk device. 4. The method of claim 1 , wherein the information associated with the kiosk device includes data identifying a merchant associated with the kiosk device; and wherein determining that the user has the threshold level of interest comprises: determining that the user has the threshold level of interest based on the merchant. 5. The method of claim 1 , wherein the account information includes one or more of: financial account information, membership account information, purchase history, or rental history. 6. The method of claim 1 , further comprising: performing an analysis of the account information and the product; and wherein providing the information associated with the product comprises: providing data indicating that the user is preauthorized to purchase the product. 7. A device, comprising: one or more memories; and one or more processors, communicatively coupled to the one or more memories, configured to: receive an image of a face of a user; perform, using one or more artificial intelligence techniques, a facial recognition analysis of the image; determine identification information of the user based on the facial recognition analysis; identify account information associated with the user based on the identification information; determine, using a product processing model, that the user has a threshold level of interest in a type of product based on data identifying a location of the device and the account information, wherein the product processing model is trained using information that includes a plurality of transactions and a plurality of products to determine one or more transactions, of the plurality of transactions, with one or more products, of the plurality of products, that are associated with a probability of being of interest to the user or one or more other users, and wherein the product processing model determines a probability of the type of product being of interest to the user and outputs a score; identify, based on determining that the score exceeds the threshold level of interest, a product in an inventory that is associated with the type of product, the inventory being a threshold distance from the location of the device; and provide, for display on the device, information associated with the product based on the inventory being within the threshold distance. 8. The device of claim 7 , wherein the one or more processors are further configured to: receive a request for information associated with the type of product; and prompt the user for the image; and wherein the one or more processors, when determining that the user has the threshold level of interest, are configured to: determine that the user has the threshold level of interest based on receiving the image and based on the request. 9. The device of claim 7 , wherein the image was captured by a camera of the device. 10. The device of claim 7 , wherein the information associated with the device includes data identifying the location of the device; and wherein the one or more processors, when determining that the user has the threshold level of interest, are configured to: determine that the user has the threshold level of interest based on the location of the device. 11. The device of claim 7 , wherein the information associated with the device includes data identifying a merchant associated with the device; and wherein the one or more processors, when determining that the user has the threshold level of interest, are configured to: determine that the user has the threshold level of interest based on the merchant. 12. The device of claim 7 , wherein the account information includes one or more of: financial account information, membership account information, purchase history, or rental history. 13. The device of claim 7 , wherein the one or more processors are further configured to: perform an analysis of the account information and the product; and wherein the one or more processors, when providing the information associated with the product, are configured to: provide data indicating that the user is preauthorized to purchase the product. 14. A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising: one or more instructions that, when executed by one or more processors of a device, cause the device to: receive an image of a face of a user; perform, using one or more artificial intelligence techniques, a facial recognition analysis of the image; determine identification information of the user based on the facial recognition analysis; identify, by a product processing model, profile information associated with the user based on the identification information, the profile information including preauthorization information of the user and information indicative of a threshold level of interest in a type of product; wherein the product processing model is trained using information that includes a plurality of transactions and a plurality of products to determine one or more transactions, of the plurality of transactions, with one or more products, of the plurality of products, that are associated with a probability of being of interest to the user or one or more other users, and wherein the product processing model determines a probability of the type of product being of interest to the user and outputs a score; identify, based on the score exceeding the threshold level of interest, a product in an inventory that is associated with the type of pro
Biometric identity checks · CPC title
comprising security or operator identification provisions, e.g. password entry · CPC title
Detection; Localisation; Normalisation · CPC title
Filtering based on additional data, e.g. user or group profiles · CPC title
Classification, e.g. identification · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.