# US 2019/0171986 A1 · System and method for evaluating images to support multiple risk applications > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2019/0171986 A1 - Document ID: US20190171986A1 - Status: Published application - Kind: A1 - Application number: 15/833,008 - Filed: 2017-12-06 - Published: 2019-06-06 - Earliest claimed: 2017-12-06 - Assignees: Hartford Fire Insurance Company - Inventors: Vladislav Michael Beznos; Brenda K. Boles; Saira A. Kazmi; Tracey Ellen Steger; Steven J Cultrera - Web page: https://patentgrep.com/patent/US20190171986A1 ## CPC - G06Q 10/0635: Risk analysis of enterprise or organisation activities - G06F 18/23: Clustering techniques - G06F 18/254: {of classification results, e.g. of results related to same input data} - G06N 5/02: Knowledge representation; Symbolic representation - G06N 5/04: Inference or reasoning models - G06Q 10/08: Logistics, e.g. warehousing, loading or distribution; Inventory or stock management - G06Q 40/00: Finance; Insurance; Tax strategies; Processing of corporate or income taxes - G06Q 40/08: Insurance - G06V 10/764: using classification, e.g. of video objects - G06V 20/00: Scenes; Scene-specific elements (control of digital cameras H04N23/60) - G06F 16/58: Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually - G06F 2216/03: Data mining - G06N 20/00: Machine learning - G06V 20/44: {Event detection} - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract In some embodiments, image input data is received from multiple sources. The received image input data may then be aggregated and mapped to create a set of image input data. An event in the set of image input data may be automatically detected, such as by being triggered by a rule and an associated tag. An image mining result database may be updated by adding an entry to the database identifying each detected event and the triggering rule. An indication associated with the image mining result database may then be transmitted to a plurality of risk applications. ## Claims ### Claim 1 A system for evaluating image data to support multiple risk applications, comprising: a communication device to receive image input data from multiple sources; a processor coupled to the communication device; and a storage device in communication with said processor and storing instructions adapted to be executed by said processor to: aggregate and map the received image input data to create a set of image input data; automatically detect an event in the set of image input data triggered by a rule and an associated tag, flag the detected event as meeting a pre-determined condition, update an image mining result database, responsive to the flag, by adding an entry to the database identifying each detected event and the triggering rule, and transmit an indication associated with the image mining result database to a plurality of risk applications. ### Claim 2 (depends on 1) The system of claim 1, wherein execution of the stored instructions further causes the processor to: receive, from at least one of the risk applications, feedback information associated with the detected event, and based on the received feedback information, automatically update at least one of the rule and the associated tag. ### Claim 3 (depends on 1) The system of claim 1, wherein the image input data is associated with at least one of: (i) a risk claim file, (ii) a risk claim note, (iii) a medical report, (iv) a police report, (v) social network data, (vi) web image data, (vii) Internet of Things data, (viii) Global Positioning System (“GPS”) satellite data, (ix) activity tracking data, (x) big data information, (xi) a loss, (xii) an injury, (xiii) an image associated with a final notice of loss statement, (xiv) video chat stream, (xv) optical character recognition data, (xvi) third-party data, and (xvii) a governmental agency. ### Claim 4 (depends on 1) The system of claim 1, wherein the risk applications are associated with at least two of: (i) a workers' compensation claim, (ii) a personal risk policy, (iii) a business risk policy, (iv) an automobile risk policy, (v) a home risk policy, (vi) a sentiment analysis, (vii) risk event detection, (viii) a cluster analysis, (ix) a predictive model, (x) a subrogation analysis, (xi) fraud detection, (xii) a recovery factor analysis, (xiii) large loss and volatile claim detection, (xiv) a premium evasion analysis, (xv) a risk policy comparison, (xvi) an underwriting decision, and (xvii) indicator incidence rate trending. ### Claim 5 (depends on 1) The system of claim 1, wherein the transmitted indication is to: (i) trigger a risk application, or (ii) update a risk application. ### Claim 6 (depends on 1) The system of claim 1, wherein the transmitted indication is associated with a variable or weighing factor of a predictive model. ### Claim 7 (depends on 1) The system of claim 1, wherein multiple versions of the rule are maintained along with multiple versions of the image mining result database. ### Claim 8 (depends on 1) The system of claim 1, wherein the event is associated with at least one of: (i) an item present within the image, and (ii) an activity associated with the image. ### Claim 9 (depends on 1) The system of claim 1, wherein the triggering rule was defined by an administrator using a graphical user interface. ### Claim 10 (depends on 1) The system of claim 1, wherein the entry added to the image mining result database includes at least one of: (i) an image identifier, (ii) an insert date, (iii) an image source, (iv) a rule identifier, and (v) a line of business. ### Claim 11 (depends on 1) The system of claim 1, wherein the storage device further stores instructions adapted to be executed by said processor to: identify at least a portion of the image input data as being connected with an image domain, and associate that portion of the image input data with a custom tag based on the image domain. ### Claim 12 (depends on 1) The system of claim 1, wherein said automatic detection is performed via cloud analytics associated with at least one of: (i) object storage, (ii) a data catalog, (iii) a data lake store, (iv) a data factory, (v) machine learning, and (vi) artificial intelligence services. ### Claim 13 A computer-implemented method for evaluating image data to support multiple risk applications, comprising: receiving, at an image mining platform, image input data from multiple sources including a source internal to a risk enterprise and a source external to the risk enterprise; aggregating and mapping the received image input data to create composite input image data; automatically detecting, by a computer processor of the image mining platform, an event in the set of image input data triggered by a rule and an associated tag; updating, by the computer processor, an image mining result database by adding an entry to the database, the entry including: (i) an image identifier, (ii) an insert date, (iii) an image source, (iv) a rule identifier, and (v) a line of business; and transmitting, by the computer processor, an indication associated with the image mining result database to a plurality of risk applications. ### Claim 14 (depends on 13) The method of claim 13, wherein the image input data is associated with at least one of: (i) a risk claim file, (ii) a risk claim note, (iii) a medical report, (iv) a police report, (v) social network data, (vi) web image data, (vii) Internet of Things data, (viii) Global Positioning System (“GPS”) satellite data, (ix) activity tracking data, (x) big data information, (xi) a loss, (xii) an injury, (xiii) an image associated with a final notice of loss statement, (xiv) video chat stream, (xv) optical character recognition data, (xvi) third-party data, and (xvii) a governmental agency. ### Claim 15 (depends on 13) The method of claim 13, wherein the risk applications are associated with at least two of: (i) a workers' compensation claim, (ii) a personal risk policy, (iii) a business risk policy, (iv) an automobile risk policy, (v) a home risk policy, (vi) a sentiment analysis, (vii) risk event detection, (viii) a cluster analysis, (ix) a predictive model, (x) a subrogation analysis, (xi) fraud detection, (xii) a recovery factor analysis, (xiii) large loss and volatile claim detection, (xiv) a premium evasion analysis, (xv) a risk policy comparison, (xvi) an underwriting decision, and (xvii) indicator incidence rate trending. ### Claim 16 (depends on 13) The method of claim 13, further comprising: identifying at least a portion of the image input data as being connected with an image domain; and associating that portion of the image input data with a custom tag based on the image domain. ### Claim 17 (depends on 13) The method of claim 13, wherein said identifying is performed at least one of: (i) on a periodic basis, (ii) upon a change in the image input data, (iii) on a daily basis, and (iv) responsive to a request. ### Claim 18 A non-transitory computer-readable medium storing instructions adapted to be executed by a computer processor to perform a method, said method comprising: receiving image input data from multiple sources; aggregating and mapping the received image input data to create a set of image input data automatically detecting an event in the set of image input data triggered by a rule and an associated tag; updating an image mining result database by adding an entry to the database identifying each detected event and the triggering rule; and transmitting an indication associated with the image mining result database to a plurality of risk applications. ### Claim 19 (depends on 18) The medium of claim 18, wherein the method further comprises: identifying at least a portion of the image input data as being connected with an image domain; and associating that portion of the image input data with a custom tag based on the image domain. ### Claim 20 (depends on 19) The medium of claim 19, wherein said identifying is performed at least one of: (i) on a periodic basis, (ii) upon a change in the image input data, (iii) on a daily basis, and (iv) responsive to a request. ### Claim 21 (depends on 18) The medium of claim 18, wherein said automatic detection is performed via cloud analytics associated with at least one of: (i) object storage, (ii) a data catalog, (iii) a data lake store, (iv) a data factory, (v) machine learning, and (vi) artificial intelligence services.