# US 12,181,457 B2 · Method and system for aroma mapping > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,181,457 B2 - Document ID: US12181457B2 - Status: Granted - Kind: B2 - Application number: 17/483,874 - Filed: 2021-09-24 - Published: 2023-03-30 - Granted: 2024-12-31 - Earliest claimed: 2021-09-24 - Assignees: International Buisiness Machines Corporation - Applicants: International Business Machines Corporation - Inventors: Romelia H. Flores; Susan Christian; Juel Daniel Raju; Christopher Bryan Barnwell - Web page: https://patentgrep.com/patent/US12181457B2 ## CPC - G01N 33/0031: {comprising two or more sensors, e.g. a sensor array} - G01N 33/0075: {for multiple spatially distributed sensors, e.g. for environmental monitoring} - G01N 33/02: Food - H04W 4/33: for indoor environments, e.g. buildings - H04W 4/38: for collecting sensor information - H04W 4/02: Services making use of location information - G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q) - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## Abstract A computer-implemented method for generating an aroma map is disclosed. The computer-implemented method includes learning one or more aromas associated with one or more items. The computer-implemented method further includes identifying a presence of an item within a venue based on comparing one or more aromas detected by one or more sensors located within the venue with one or more learned aromas associated with the item. The computer-implemented method further includes identifying a micro-location of the item based, at least in part, on a location of the one or more sensors which detected the aroma. The computer-implemented method further includes generating an aroma map geospatially indicating the micro-location of the item within the venue. ## Claims ### Claim 1 A computer-implemented method, comprising: learning one or more aromas associated with one or more items; identifying a presence of an item of the one or more items within a venue, based on comparing one or more aromas detected by one or more sensors located within the venue with the one or more learned aromas associated with the item; identifying a micro-location of the item based, at least in part, on: a location of the one or more sensors which detected the aroma, and the identifying of the presence of the item being within at least one of a determined time period of an order for the item being placed or a determined time period of the order for the item being completed; and generating an aroma map geospatially indicating the micro-location of the item within the venue. ### Claim 2 (depends on 1) The computer-implemented method of claim 1, wherein the identifying of the micro-location of the item is further based, at least in part, on detecting the one or more aromas associated with the item within the determined time period at a location within the venue at which the order was placed for the item. ### Claim 3 (depends on 1) The computer-implemented method of claim 1, wherein the generating of the aroma map geospatially indicating the micro-location of the item further includes displaying one or more ingredients used to prepare the item. ### Claim 4 (depends on 1) The computer-implemented method of claim 1, wherein a size of the micro-location of the item associated with the one or more detected aromas is based, at least in part, on an aroma strength score associated with the item. ### Claim 5 (depends on 1) The computer-implemented method of claim 1, wherein the micro-location of the item associated with the one or more detected aromas is based, at least in part on, a determined time threshold based on the detected aroma. ### Claim 6 A computer program product comprising one or more computer readable storage media and program instructions stored on the one or more computer readable storage media for execution by one or more computer processors, the program instructions including instructions to: learn one or more aromas associated with one or more items; identify a presence of an item of the one or more items within a venue, based on comparing one or more aromas detected by one or more sensors located within the venue with the one or more learned aromas associated with the item; identify a micro-location of the item based, at least in part, on: a location of the one or more sensors which detected the aroma, and the identification of the presence of the item being within at least one of a determined time period of an order for the item being placed or a determined time period of the order for the item being completed; and generate an aroma map geospatially indicating the micro-location of the item within the venue. ### Claim 7 (depends on 6) The computer program product of claim 6, wherein the instructions to identify the micro-location of the item is further based, at least in part, on detecting the one or more aromas associated with the item within the determined time period at a location within the venue at which the order was placed for the item. ### Claim 8 (depends on 6) The computer program product of claim 6, wherein the instructions to generate the aroma map geospatially indicating the micro-location of the item further includes displaying one or more ingredients used to prepare the item. ### Claim 9 (depends on 6) The computer program product of claim 6, wherein a size of the micro-location of the item associated with the one or more detected aromas is based, at least in part, on an aroma strength score associated with the item. ### Claim 10 (depends on 6) The computer program product of claim 6, wherein the micro-location of the item associated with the one or more detected aromas is based, at least in part on, determined time threshold based on the detected aroma. ### Claim 11 A computer system, comprising: one or more computer processors; one or more computer readable storage media; and computer program instructions; the computer program instructions being stored on the one or more computer readable storage media for execution by the one or more computer processors; and the computer program instructions including instructions to: learn one or more aromas associated with one or more items; identify a presence of an item of the one or more items within a venue based on comparing one or more aromas detected by one or more sensors located within the venue with the one or more learned aromas associated with the item; identify a micro-location of the item based, at least in part, on: a location of the one or more sensors which detected the aroma, and the identification of the presence of the item being within at least one of a determined time period of an order for the item being placed or a determined time period of the order for the item being completed; and generate an aroma map geospatially indicating the micro-location of the item within the venue. ### Claim 12 (depends on 11) The computer system of claim 11, wherein the instructions to identify the micro-location of the item is further based, at least in part, on detecting the one or more aromas associated with the item within the determined time period at a location within the venue at which the order was placed for the item. ### Claim 13 (depends on 11) The computer system of claim 11, wherein the instructions to generate the aroma map geospatially indicating the micro-location of the item further includes displaying one or more ingredients used to prepare the item. ### Claim 14 (depends on 11) The computer system of claim 11, wherein a size of the micro-location of the item associated with the one or more detected aromas is based, at least in part, on an aroma strength score associated with the item.