# US 12,602,728 B2 · Connected home system with risk units > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,602,728 B2 - Document ID: US12602728B2 - Status: Granted - Kind: B2 - Application number: 18/237,029 - Filed: 2023-08-23 - Published: 2024-02-08 - Granted: 2026-04-14 - Earliest claimed: 2018-12-14 - Assignees: Allstate Insurance Company - Applicants: Allstate Insurance Company - Inventors: Floyd M. Yager; Orlando E. Mercado; Ralph Adam Benjamin Tyner; Jennifer L. Snyder; Laurie Pellouchoud; Peggy Klingel; Trent Bohacz; John Bradley Moats - Web page: https://patentgrep.com/patent/US12602728B2 ## CPC - G06Q 40/08: Insurance - G06N 20/00: Machine learning - G06N 5/04: Inference or reasoning models - 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 - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract Aspects of the disclosure generally relate to monitoring and/or sensing of one or more home devices from one or more homes. In particular, various aspects described herein relate to receiving data from one or more sensors associated with one or more home devices from one or more homes and using the data to determine insurance rates or premiums, discounts, incentives, and the like. Further, aspects of the disclosure relate to computer hardware and software. In particular, one or more aspects of the disclosure relate to the connected home or smart home market (i.e. connected devices and systems within or related to the home) which is rapidly evolving and growing. ## Claims ### Claim 1 A connected home device comprising: a wireless network interface; one or more processors; and a memory unit storing computer-executable instructions, which when executed by the one or more processors, cause the connected home device to: receive, using the wireless network interface, a first data transmission from one or more home sensor devices within a home, the first data transmission including home sensor data generated by the one or more home sensor devices; receive, using the wireless network interface, a second data transmission from a vehicle parked outside the home, the second data transmission including vehicle sensor data generated by one or more vehicle sensor devices positioned to monitor areas external to the home, wherein the vehicle sensor data includes an ambient condition around the vehicle parked outside the home; generate a home profile by analyzing the home sensor data and the vehicle sensor data to establish a normal usage pattern of the home and the areas external to the home; identify that a person is entering the home based on a deviation from the home profile by detecting differences between the home profile and current sensor readings from the one or more home sensor devices or the one or more vehicle sensor devices; determine that the deviation corresponds to a burglary which is occurring in the home; determine a reactive measure based on a determination that the burglary is occurring, wherein the reactive measure comprises a message and an identification of at least one recipient, and wherein the reactive measure triggers a preventive action with at least one home sensor device of the one or more home sensor devices to prevent the burglary from continuing; and send the message to a computing device associated with the at least one recipient. ### Claim 2 (depends on 1) The connected home device of claim 1, wherein: the one or more home sensor devices includes a camera; and identifying that the person is entering the home includes performing artificial intelligence-based image recognition. ### Claim 3 (depends on 1) The connected home device of claim 1, wherein: the one or more home sensor devices includes a microphone; and identifying that the person is entering the home includes performing artificial intelligence-based speech recognition. ### Claim 4 (depends on 1) The connected home device of claim 1, wherein the computer-executable instructions, when executed by the one or more processors, further cause the connected home device to recognize whether the person is walking around the home. ### Claim 5 (depends on 1) The connected home device of claim 1, wherein the message includes an alert for potential danger. ### Claim 6 (depends on 1) The connected home device of claim 1, wherein the reactive measure includes transmitting the message to a home device. ### Claim 7 (depends on 1) The connected home device of claim 1, wherein the reactive measure includes an alert to turn on exterior lights. ### Claim 8 (depends on 7) The connected home device of claim 7, wherein the computing device associated with the at least one recipient is at a neighboring home. ### Claim 9 (depends on 1) The connected home device of claim 1, wherein the computer-executable instructions, when executed by the one or more processors, further cause the connected home device to use at least one of the one or more home sensor devices or the one or more vehicle sensor devices to record the burglary. ### Claim 10 A connected home system comprising: a wireless network interface; one or more home sensor devices; one or more vehicle sensor devices; and a connected home device comprising one or more processors and a memory unit storing computer-executable instructions, which when executed by the one or more processors, cause the connected home device to: receive, using the wireless network interface, a first data transmission from the one or more home sensor devices within a home, the first data transmission including home sensor data generated by the one or more home sensor devices; receive, using the wireless network interface, a second data transmission from the one or more vehicle sensor devices of a vehicle parked outside the home, the second data transmission including vehicle sensor data generated by the one or more vehicle sensor devices positioned to monitor areas external to the home, wherein the vehicle sensor data includes an ambient condition around the vehicle parked outside the home; generate a home profile by analyzing the home sensor data and the vehicle sensor data to establish a normal usage pattern of the home and the areas external to the home; determine a deviation from the home profile corresponds to a burglary which is occurring in the home by detecting differences between the home profile and current sensor readings from the one or more home sensor devices or the one or more vehicle sensor devices; determine a reactive measure based on a determination that the burglary is occurring, wherein the reactive measure comprises a message and an identification of at least one recipient, and wherein the reactive measure triggers a preventive action with at least one home sensor device of the one or more home sensor devices to prevent the burglary from continuing; and send the message to a computing device associated with the at least one recipient. ### Claim 11 (depends on 10) The connected home system of claim 10, wherein the one or more home sensor devices include a microphone and a camera inside the home. ### Claim 12 (depends on 10) The connected home system of claim 10, wherein the one or more vehicle sensor devices include a proximity sensor. ### Claim 13 (depends on 10) The connected home system of claim 10, wherein the one or more vehicle sensor devices include a motion sensor. ### Claim 14 (depends on 10) The connected home system of claim 10, wherein the one or more vehicle sensor devices include an external camera of the vehicle. ### Claim 15 (depends on 14) The connected home system of claim 14, wherein the external camera of the vehicle parked at the home records the burglary occurring and transmits a video to the computing device in real-time. ### Claim 16 A method comprising: receiving, at a connected home device using a wireless network interface, a first data transmission from one or more home sensor devices located within a home, the first data transmission including home sensor data generated by the one or more home sensor devices; receiving, at the connected home device using the wireless network interface, a second data transmission from a vehicle parked outside the home, the second data transmission including vehicle sensor data generated by one or more vehicle sensor devices positioned to monitor areas external to the home, wherein the vehicle sensor data includes an ambient condition around the vehicle parked outside the home; generating a home profile by analyzing the home sensor data and the vehicle sensor data to establish a normal usage pattern of the home; determining, using one or more processors of the connected home device, a deviation from the home profile corresponds to a burglary which is occurring in the home by detecting differences between the home profile and current sensor readings from the one or more home sensor devices or the one or more vehicle sensor devices; determining a reactive measure based on a determination that the burglary is occurring, wherein the reactive measure comprises a message and an identification of at least one recipient, and wherein the reactive measure triggers a preventive action with at least one home sensor device of the one or more home sensor devices to prevent the burglary from continuing; and sending the message to a computing device associated with the at least one recipient. ### Claim 17 (depends on 16) The method of claim 16, wherein the message includes an indication of the preventive action. ### Claim 18 (depends on 17) The method of claim 17, wherein the preventive action includes turning on at least one exterior light. ### Claim 19 (depends on 16) The method of claim 16, wherein the one or more home sensor devices includes a camera, and the method further comprises identifying a person in the home by performing artificial intelligence-based image recognition with the camera. ### Claim 20 (depends on 16) The method of claim 16, wherein the one or more home sensor devices includes a microphone, and the method further comprises identifying a person in the home by performing artificial intelligence-based speech recognition with the microphone.