LIDAR Home Architecture Profiling for Accurate Insurance Quotes
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Solution Overview
Problem
Current insurance quote generation and claim processing methods are inefficient, lacking accurate and timely data collection, especially for impaired individuals who require navigation assistance, and existing LIDAR technology is not effectively integrated for insurance purposes or impaired navigation.
Innovation Solution
The integration of LIDAR technology with server systems to generate insurance quotes and claims by combining preexisting architecture data with LIDAR data to create an architecture profile, and providing navigation feedback to impaired individuals through LIDAR data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional insurance quote generation methods are used, then the process is simple, but accuracy and timeliness of data collection are insufficient
Solution Approach 1:
The LIDAR system is designed to serve multiple functions: it captures architectural data for insurance quoting, creates 3D point clouds for property assessment, and provides spatial mapping capabilities. This multi-functionality allows a single device to replace multiple specialized tools, improving measurement precision while managing system complexity through consolidation.
Solution Approach 2:
The patent replaces traditional manual measurement methods and mechanical surveying equipment with optical LIDAR technology. The LIDAR system uses laser pulses to automatically capture precise spatial and architectural data, eliminating the need for manual measurements and significantly improving both accuracy and timeliness of data collection.
2Reliability
If LIDAR technology is integrated for insurance purposes, then accuracy of quotes improves, but system complexity increases
Solution Approach 1:
The system introduces a server as an intermediary that receives LIDAR data, processes it to extract architectural features, and generates insurance quotes. This intermediary layer simplifies the overall system architecture by centralizing complex processing tasks, allowing the LIDAR device itself to remain relatively simple while achieving high reliability through sophisticated backend analysis.
Solution Approach 2:
The system performs preliminary processing of LIDAR data to create standardized architectural profiles and 3D point clouds before insurance assessment. By pre-processing the raw LIDAR data into structured formats with defined features and dimensions, the system prepares the data in advance for reliable insurance quote generation, reducing complexity during the actual quoting process.
3Productivity
If manual data collection methods are used, then equipment simplicity is maintained, but processing speed and timeliness decrease
Solution Approach 1:
The LIDAR system is designed to autonomously capture architectural data without requiring manual intervention. The device automatically scans the property, processes the returned laser signals, generates 3D point clouds, and extracts architectural features. This self-service capability dramatically improves productivity by eliminating manual data collection steps while the automated processing handles the complexity internally.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach results in more accurate insurance quotes and claims processing, faster notification of insurance events, and improved navigation for impaired individuals by leveraging LIDAR data for both insurance and assistive applications.
Implementation Method 1
LIDAR is a technology that measures distance to a target by illuminating the target (e.g., using laser light) and then measuring the reflected light with a sensor (e.g., measuring the time of flight from the laser signal source to its return to the sensor)
Implementation Method 2
measuring the time of flight from the laser signal source to its return to the sensor
Data Source
AI summary
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.