Smart Home Claim Generation From Imminent Property Event Detection
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Solution Overview
Problem
Existing insurance claim generation systems struggle to accurately determine the sequence of events leading to property damage, particularly when multiple potential causes are involved, leading to inefficiencies and inaccuracies in claim processing.
Innovation Solution
A smart home controller interconnected with various devices monitors and records data before, during, and after an insurance-related event, analyzing this data to determine the sequence of events and generate a proposed insurance claim, which can be modified by the homeowner and processed by the insurance provider.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional insurance claim processing methods are used, then claim handling is simpler, but accuracy in determining cause of loss and sequence of events deteriorates
Solution Approach 1:
The system performs preliminary actions by proactively monitoring property conditions and detecting potential insurance events before they result in damage. Sensors continuously collect data on environmental conditions, and the system identifies emerging issues early in their development, allowing for preventive intervention or accurate documentation of the event sequence before damage occurs.
Solution Approach 2:
The patent introduces an intermediary intelligent system that acts as a mediator between traditional insurance claim processing and modern sensor technology. This intermediary layer collects, analyzes, and structures data from multiple sensors, then presents processed information to insurers in standardized formats, bridging the gap between complex data collection and simple claim processing.
2Measurement precision
If proactive monitoring and data collection are implemented, then accuracy of damage assessment improves, but system complexity and cost increase
Solution Approach 1:
The system implements multi-functional sensors and devices that serve multiple purposes simultaneously. For example, environmental sensors monitor both general conditions and specific risk factors, while the same data infrastructure supports both preventive monitoring and post-event assessment functions, reducing overall system complexity despite enhanced capabilities.
Solution Approach 2:
The intelligent system performs self-service by automatically analyzing sensor data, identifying potential insurance events, and generating preliminary assessments without requiring constant human intervention. The system self-manages data collection, processing, and interpretation, reducing operational complexity while maintaining high assessment accuracy.
3Reliability
If detailed sequence of events is tracked, then reliability of insurance claims improves, but loss of time in data processing increases
Solution Approach 1:
The system performs preliminary documentation and analysis of the event sequence in real-time as events occur, rather than reconstructing sequences after damage happens. Sensors continuously log timestamped data, and the system pre-processes this information into structured narratives, so that when a claim needs to be filed, the sequence of events is already documented and verified.
Solution Approach 2:
The patent replaces manual, mechanical claim processing methods with automated electronic systems. Intelligent algorithms automatically analyze sensor data, determine causality relationships, and generate claim documents without human intervention, substituting computational processes for traditional manual investigation and documentation procedures.
4Measurement precision
If multiple sensors and devices are deployed, then measurement accuracy improves, but device complexity and installation difficulty increase
Solution Approach 1:
The system merges multiple sensor functions and data collection capabilities into integrated devices and unified software platforms. Rather than deploying separate standalone sensors for each measurement type, the system combines environmental monitoring, event detection, and data processing into cohesive units that simplify installation while maintaining comprehensive measurement accuracy.
Data Source
AI summary
Methods and systems for predictively generating an insurance claim in response to detecting an imminent insurance-related event are provided. According to certain aspects, a smart home controller or insurance provider remote processor may store a first set of data received from smart devices disposed on, or proximate to, a property. This data may be analyzed to detect that an insurance-related event is imminent and calculate a likelihood that a property owner will file an insurance claim in response to damage caused by the imminent insurance-related event. If there is a sufficient likelihood that an insurance claim will be filed, the smart home controller or remote processor may store a second set of data received from the smart devices. Subsequently, according to certain aspects, the second set of data may be analyzed to prepopulate an automatically generated insurance claim with information detailing damage to the property caused by the insurance-related event.