Patent classifications
G06Q40/0842
Systems and methods for automatically mitigating risk of water damage
Methods and systems for automatically mitigating risks of water damage to a property caused by insurance-related events are provided. A smart home controller and/or insurance provider remote processor may analyze data received from a smart device disposed on, within, or proximate to a property associated with monitoring water flow, as well as data received from an insurance provider. If it is determined that an actual or potential risk of water leakage exists, the smart home controller or remote processor may automatically issue commands to the smart device to take actions that mitigate the risk of water damage. The smart home controller may transmit information about the actual or potential water leakage risks and any mitigative actions to an insurance provider. The insurance provider remote processor may interpret the transmitted data and perform insurance activities, such as providing a discount or premium, and/or adjusting an insurance policy associated with the property.
Systems and Methods for Automatically Mitigating Risk of Water Damage
Methods and systems for automatically mitigating risks of water damage to a property caused by insurance-related events are provided. A smart home controller and/or insurance provider remote processor may analyze data received from a smart device disposed on, within, or proximate to a property associated with monitoring water flow, as well as data received from an insurance provider. If it is determined that an actual or potential risk of water leakage exists, the smart home controller or remote processor may automatically issue commands to the smart device to take actions that mitigate the risk of water damage. The smart home controller may transmit information about the actual or potential water leakage risks and any mitigative actions to an insurance provider. The insurance provider remote processor may interpret the transmitted data and perform insurance activities, such as providing a discount or premium, and/or adjusting an insurance policy associated with the property.
Systems and methods for light detection and ranging (LIDAR) based generation of a homeowners insurance quote
The following relates generally to light detection and ranging (LIDAR). In some embodiments, a homeowners insurance quote is produced based upon data received from a LIDAR camera. For instance, in some embodiments, a system: receives light detection and ranging (LIDAR) data generated from one or more LIDAR cameras; analyzes the LIDAR data to determine or identify one or more features or characteristics of a home; and generates an electronic homeowners insurance quote based upon, at least in part, the one or more features or characteristics of the home determined or identified from the LIDAR data.
Digital-witness robotic insurance system and method
A robotic insurance platform is disclosed that transforms an autonomous service robot into a tamper-resistant digital witness capable of supplying legally probative evidence without human intervention. The robot is equipped with surround video cameras, a spatial microphone array, an on-board processor, a cryptographically isolated secure enclave, a wireless communication module, and a rolling-buffer memory that retains encrypted audio-video data for a configurable period such as forty days. A companion mobile application enables an insured user to register, perform know-your-customer identity verification, and pair the robot with an insurance policy stored on a cloud server that hosts an claim-decision engine and policy database. Following explicit verbal consent from the user, the robot records continuously while performing ordinary tasks. When an incident is detectedeither by on-board heuristics or by a user-initiated claim requestthe processor extracts a time window surrounding the event, computes a cryptographic hash of the clip inside the secure enclave, and commits that hash as an immutable anchor to a permissioned or public blockchain ledger. Only after blockchain confirmation is the encrypted clip transmitted to the insurance server, where the claim-decision engine verifies integrity, applies machine-learning analytics to determine causation, and issues a coverage determination. Approved claims trigger repair dispatch, replacement shipment, or direct monetary reimbursement, while unclaimed data exceeding the retention interval are securely erased. The platform delivers objective, bias-free evidence, virtually eliminates false claims, and reduces end-to-end settlement time from weeks to minutes, thereby lowering operational costs for insurers and increasing transparency for policyholders.
ALTERNATIVE DEDUCTIBLE
Methods, computer-readable media, software, and apparatuses provide a system for adjusting a deductible and/or determining eligibility for a deductible payment plan based on a user situation, wherein the user situation may include a driving situation and/or a home situation. Information regarding the user situation related to a vehicle or a home may be obtained from various sources. The information may be used to evaluate a degree of safety of the user situation. For example, the degree of safety may be associated with a user operating a vehicle and/or maintaining a home over a period of time. Based on the degree of safety of the user situation, the adjustment of the deductible and/or eligibility for the deductible payment plan may be determined. The system may also utilize one or more algorithms to process the information to determine eligibility for a deductible payment plan and/or adjustment of the deductible.
ALTERNATIVE DEDUCTIBLE
Methods, computer-readable media, software, and apparatuses provide a system for adjusting a deductible and/or determining eligibility for a deductible payment plan based on a user situation, wherein the user situation may include a driving situation and/or a home situation. Information regarding the user situation related to a vehicle or a home may be obtained from various sources. The information may be used to evaluate a degree of safety of the user situation. For example, the degree of safety may be associated with a user operating a vehicle and/or maintaining a home over a period of time. Based on the degree of safety of the user situation, the adjustment of the deductible and/or eligibility for the deductible payment plan may be determined. The system may also utilize one or more algorithms to process the information to determine eligibility for a deductible payment plan and/or adjustment of the deductible.