Vehicle Sensor Environmental Analysis for Building Condition Detection

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Solution Overview

Problem

Existing technologies lack effective methods to accurately analyze environmental conditions around vehicles and provide actionable insights to businesses and individuals, leading to inefficiencies in maintenance and sales opportunities.

Innovation Solution

A network-based system and method that utilizes vehicle sensor data to analyze environmental conditions, determine actionable items, and notify relevant providers, enabling targeted business opportunities and improved maintenance practices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional advertising methods (Internet ads, cold calls, door-to-door sales) are used to contact potential customers, then initial contact can be established, but the likelihood of completing a sale is low due to lack of awareness of actual needs

Engineering Contradiction:

Improvesales conversion rateVSAvoidinformation about actual customer needs

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The system performs preliminary environmental analysis and condition detection before sales contact is made. Sensors detect environmental conditions (tree health, building conditions, vegetation status) and generate actionable insights about actual maintenance needs before any sales interaction occurs, allowing targeted outreach to customers with verified needs

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors environmental conditions and provides feedback about actual property conditions to both customers and service providers. This feedback loop ensures that advertising and sales efforts are directed at customers whose environmental conditions actually require the services being offered, improving sales conversion while reducing information loss

Inventive Principle:

Principle #23Feedback

2Measurement precision

If environmental conditions are monitored continuously to provide accurate maintenance insights, then actionable items can be identified, but system complexity and data processing requirements increase

Engineering Contradiction:

Improveenvironmental condition detection accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments environmental monitoring into specific categories (tree health, building conditions, vegetation status, weather conditions) with dedicated sensors for each. This segmentation allows precise measurement of individual environmental parameters while keeping each sensor module relatively simple and manageable

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The server acts as an intermediary that receives raw sensor data, processes it through environmental analysis algorithms, and generates simplified actionable insights. This intermediary layer handles the complexity of continuous data processing and condition assessment, shielding individual sensor devices from needing to perform complex analysis locally

Inventive Principle:

Principle #24Intermediary (Mediator)

3Reliability

If sensor data from multiple vehicles is collected and analyzed to determine environmental conditions, then comprehensive environmental analysis is achieved, but data transmission and processing time increases

Engineering Contradiction:

Improveenvironmental analysis reliabilityVSAvoiddata processing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system merges sensor data from multiple vehicles traveling through the same geographic area to build a comprehensive environmental profile. By combining data sources, the system achieves more reliable environmental condition determination while the server efficiently processes aggregated data to minimize analysis time

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS20250156958A1Systems and methods for environmental analysis based upon vehicle sensor data

Publication Date: 2025.05.15 STATE FARM MUTAL AUTOMOBILE INSURANCE COMPANY

AI summary

A system for analyzing the environment of a vehicle (i) receives a plurality of data from at least one sensor associated with a vehicle, such that the plurality of data includes at least one environmental condition at a location; (ii) analyzes the plurality of data to determine the at least one environmental condition at the location; (iii) determines a condition of a building at the location based upon the at least one environmental condition; (iv) determines an insurance product for the building based upon the determined condition associated with the building; and (v) generates an insurance quote for the insurance product. As a result, the speed and accuracy of insurance providers learning about potential clients and the conditions of the potential client's property and needs is increased.