Abstract: Systems and methods for identifying a condition associated with an individual in a home environment are provided. Sensors associated with the home environment detect data, which is captured and analyzed by a local or remote processor to identify the condition. In some instances, the sensors are configured to capture data indicative of electricity use by devices associated with the home environment, including, e.g., which devices are using electricity, what date/time electricity is used by each device, how long each device uses electricity, and/or the power source for the electricity used by each device. The processor analyzes the captured data to identify any abnormalities or anomalies, and, based upon any identified abnormalities or anomalies, the processor determines a condition (e.g., a medical condition) associated with an individual in the home environment. The processor generates and transmits a notification indicating the condition associated with the individual to a caregiver of the individual.

Abstract: A computer system for generating a virtual reality replicant persona for interaction may be provided. The computer system may include at least one processor in communication with at least one memory device. The at least one processor may be programmed to (i) store a replicant persona of an individual; (ii) receive a request from a user to interact with the replicant persona; (iii) generate an avatar of the replicant persona based upon the request; (iv) place avatar in a virtual reality environment based upon the request; and (v) conduct avatar interaction with the user.

Abstract: Methods and systems for providing emergency heating in an electric vehicle (EV) running out of power are described herein. An on-board computer or mobile device in an EV may determine that an amount of charge remaining for powering the EV is below a threshold charge level. The on-board computer or mobile device may then route the remaining amount of charge to power a heating system in the EV to maintain a temperature in the EV above a threshold temperature level, and shut down power to other components within the EV.

Abstract: Vehicles may have the capability to navigate according to various levels of autonomous capabilities, the vehicle having a different set of autonomous competencies at each level. In certain situations, the vehicle may shift from one level of autonomous capability to another. The shift may require more or less driving responsibility from a human operator. Sensors inside the vehicle collect human operator parameters to determine an alertness level of the human operator. An alertness level is determined based on the human operator parameters and other data including historical data or human operator-specific data. Notifications are presented to the user based on the determined alertness level that are more or less intrusive based on the alertness level of the human operator and on the urgency of an impending change to autonomous capabilities. Notifications may be tailored to specific human operators based on human operator preference and historical performance.

Abstract: Methods and systems for charging an electric vehicle (EV) are described herein. An EV may require additional battery power to reach a charging station. A remote server in communication with the EV or an on-board computer or mobile device in the EV may obtain data to determine a location for the EV to meet a charging vehicle. The charging vehicle may be dispatched to meet the EV and deliver power to it, enabling the EV to reach a charging station or other destination. In some examples, the charging vehicle may deliver power to the EV while both vehicles are stationary. In other examples, the charging vehicle may couple to the EV while both vehicles are in motion.

Abstract: Systems and methods are described for identifying impactful elements in database information to generate a dialogue output. The method may include: (1) receiving, by one or more processors, internal database information at a generative artificial intelligence (AI) model, wherein the internal database information includes data associated with interaction dialogue; (2) analyzing, by the one or more processors, the internal database information via the generative AI model to generate an internal database analysis; (3) identifying, by the one or more processors and based upon at least the internal database analysis, one or more impact elements regarding human understanding of the internal database information via the generative AI model; and (4) generating, by the one or more processors and based upon at least the one or more impact elements, a dialogue output (or visual or virtual output) regarding the data via the generative AI model.

Abstract: A computer system for generating a virtual reality replicant persona for interaction may be provided. The computer system may include at least one processor in communication with at least one memory device. The at least one processor may be programmed to (i) store a replicant persona of an individual; (ii) receive a request from a user to interact with the replicant persona; (iii) generate an avatar of the replicant persona based upon the request; (iv) place avatar in a virtual reality environment based upon the request; and (v) conduct avatar interaction with the user.

Abstract: A computer system for sump pump monitoring and repair service provider notification may include one or more processors configured to: detect that a sump pump is faulty, transmit a prompt for service quotes to a machine learning (ML) chatbot to cause the ML chatbot to: request sump pump replacement or repair services from one or more service providers, receive cost estimates from the one or more repair service providers, receive schedule availability from the one or more repair service providers, receive, from the ML chatbot, the cost estimates and the schedule availability, and communicate the cost estimates and/or the schedule availability to a user associated with the sump pump.

Abstract: Techniques for detecting damage to a roofing structure and initiating remediation procedures are disclosed herein. An exemplary computer-implemented method may include receiving sensor data from a plurality of sensors located proximate to the roofing structure to monitor a plurality of environmental conditions. The exemplary method may include (1) identifying, by one or more processors, a type of damage within the roofing structure based upon the sensor data; (2) locating a position of the damage within the roofing structure; determining a set of remediation services based upon the type of damage; and (3) identifying one or more remediation service providers to perform the set of remediation services. The exemplary method may include generating and transmitting an alert signal to a computing device identifying the type of damage to the roofing structure and contact information corresponding to at least one or more remediation service providers.

Abstract: A notification system for use in a materials handling vehicle includes a display and a processor. The display has a screen that displays a graphical user interface (GUI). The GUI includes a first panel displaying live vehicle data associated with a first vehicle function, wherein the first panel can be controlled to toggle between a prioritized state and a non-prioritized state, and a second panel displaying live vehicle data associated with a second vehicle function, wherein the second panel can be controlled to toggle between a prioritized state and a non-prioritized state. The processor is communicably coupled to the display to control the GUI. The processor is programmed to detect an event associated with the first panel or the second panel and to apply the prioritized state or the non-prioritized state to the first panel or the second panel based on the detecting of the associated event.

Abstract: Systems and methods for identifying a condition associated with an individual in a home environment are provided. Sensors associated with the home environment detect data, which is captured and analyzed by a local or remote processor to identify the condition. In some instances, the sensors are configured to capture data indicative of electricity use by devices associated with the home environment, including, e.g., which devices are using electricity, what date/time electricity is used by each device, how long each device uses electricity, and/or the power source for the electricity used by each device. The processor analyzes the captured data to identify any abnormalities or anomalies, and, based upon any identified abnormalities or anomalies, the processor determines a condition (e.g., a medical condition) associated with an individual in the home environment. The processor generates and transmits a notification indicating the condition associated with the individual to a caregiver of the individual.

Abstract: A system for controlling over-the-air updates for a device (i) stores a plurality of version and setting information for plurality of devices; (ii) receives version and setting information for the first device of the plurality of devices; (iii) stores the version and setting information for the first device; (iv) determines a risk profile for the first device based upon the corresponding version and setting information; and (v) determines an insurance quote based upon the risk profile for the first device.

Abstract: Methods and systems for providing emergency heating in an electric vehicle (EV) running out of power are described herein. An on-board computer or mobile device in an EV may determine that an amount of charge remaining for powering the EV is below a threshold charge level. The on-board computer or mobile device may then route the remaining amount of charge to power a heating system in the EV to maintain a temperature in the EV above a threshold temperature level, and shut down power to other components within the EV.

Abstract: Systems and methods for identifying a condition associated with an individual in a home environment are provided. Sensors associated with the home environment detect data, which is captured and analyzed by a local or remote processor to identify the condition. In some instances, the sensors are configured to capture data indicative of electricity use by devices associated with the home environment, including, e.g., which devices are using electricity, what date/time electricity is used by each device, how long each device uses electricity, and/or the power source for the electricity used by each device. The processor analyzes the captured data to identify any abnormalities or anomalies, and, based upon any identified abnormalities or anomalies, the processor determines a condition (e.g., a medical condition) associated with an individual in the home environment. The processor generates and transmits a notification indicating the condition associated with the individual to a caregiver of the individual.

Abstract: A computer system for sump pump monitoring and repair service provider notification may include one or more processors configured to: detect that a sump pump is faulty, transmit a prompt for service quotes to a machine learning (ML) chatbot to cause the ML chatbot to: request sump pump replacement or repair services from one or more service providers, receive cost estimates from the one or more repair service providers, receive schedule availability from the one or more repair service providers, receive, from the ML chatbot, the cost estimates and the schedule availability, and communicate the cost estimates and/or the schedule availability to a user associated with the sump pump.

Abstract: A system and computer-implemented method detect and act upon deactivated vehicle components. The system and method include receiving measurements data associated with driving activity. The measurements data includes an indication that at least one feature of an Advanced Driver Assistance System (ADAS) of a vehicle has been deactivated for a driving activity. The system and method may include receiving historical driving data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the measurements data to the historical driving data, determine a likelihood level that the feature of the ADAS would have provided the alert had the feature been activated based upon the comparing, and set, based at least upon the determining, at least a portion of an operator profile associated with an operator of the vehicle with the likelihood level.

Abstract: Techniques for detecting damage to a roofing structure and initiating remediation procedures are disclosed herein. An exemplary computer-implemented method may include receiving sensor data from a plurality of sensors located proximate to the roofing structure to monitor a plurality of environmental conditions. The exemplary method may include (1) identifying, by one or more processors, a type of damage within the roofing structure based upon the sensor data; (2) locating a position of the damage within the roofing structure; determining a set of remediation services based upon the type of damage; and (3) identifying one or more remediation service providers to perform the set of remediation services. The exemplary method may include generating and transmitting an alert signal to a computing device identifying the type of damage to the roofing structure and contact information corresponding to at least one or more remediation service providers.

Abstract: Systems and methods for identifying a condition associated with an individual in a home environment are provided. Sensors associated with the home environment detect data, which is captured and analyzed by a local or remote processor to identify the condition. In some instances, the sensors are configured to capture data indicative of electricity use by devices associated with the home environment, including, e.g., which devices are using electricity, what date/time electricity is used by each device, how long each device uses electricity, and/or the power source for the electricity used by each device. The processor analyzes the captured data to identify any abnormalities or anomalies, and, based upon any identified abnormalities or anomalies, the processor determines a condition (e.g., a medical condition) associated with an individual in the home environment. The processor generates and transmits a notification indicating the condition associated with the individual to a caregiver of the individual.

Abstract: Disclosed are systems and methods of monitoring a well that includes a production tubing installed in the well and supported by a wellhead with an annulus between the production tubing and a well casing. While the production tubing remains installed in the well, a valve of the wellhead is opened to provide access to the annulus through a side port of the wellhead. A cable guide is inserted through the valve, the cable guide including a conduit for inserting a sensing cable through the cable guide. A sensing cable is inserted through the conduit of the cable guide and into the annulus through the side port. One or more parameters of the well are measured using the sensing cable and signals representative of the parameters are transmitted along the sensing cable. The signals from the sensing cable are obtained and processed using a computing system to determine the parameters.

Abstract: The following relates generally to providing virtual reality (VR) alerts to a driver of an autonomous vehicle. For example, a vehicle may be driving autonomously while the driver is watching a VR movie (e.g., on a pair of VR goggles); the driver may then receive a VR alert recommending that the driver take control of the vehicle (e.g., switch the vehicle from autonomous to manual mode). The following also relates to generating a VR feed for presenting real-time road conditions so that a user may preview a road segment. The following also relates to generating a VR feed corresponding to an event (e.g., a vehicle collision, a crime, a weather event, and/or a natural disaster).