Vehicle Sensor Environmental Analysis for Property 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 or individuals, leading to missed opportunities for maintenance or repairs.

Innovation Solution

A network-based system that utilizes vehicle sensor data to analyze environmental conditions, such as building conditions, vegetation health, public thoroughfare status, weather, and vehicular accidents, to determine actionable items and notify relevant providers.

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 remains low due to lack of indication that the product or service is needed

Engineering Contradiction:
Improvesale completion rateVSAvoidcustomer need information
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The system performs preliminary environmental analysis using vehicle sensor data to identify conditions that indicate customer needs before sales contact is made. By analyzing images and sensor data of properties, vegetation, and surroundings, the system proactively determines maintenance needs and potential customer requirements, enabling targeted outreach only when actual needs are detected.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If environmental analysis is performed to identify actual customer needs, then more accurate leads and proactive maintenance opportunities can be identified, but the 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 leverages the multi-functionality of existing vehicle sensor systems, using the same sensors for both autonomous navigation and environmental analysis for business opportunities. By reusing camera, LIDAR, and other sensor data already collected for vehicle operation, the system avoids adding dedicated complex analysis hardware while achieving precise environmental condition detection.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Loss of information

If vehicle sensor data is collected and analyzed for environmental conditions, then actionable insights and business opportunities can be identified, but data storage and processing requirements increase

Engineering Contradiction:
Improveenvironmental condition informationVSAvoiddata volume
Core Design Contradiction:
Loss of informationVSQuantity of substance

Solution Approach 1:

The system extracts only the specific environmental information relevant to identifying customer needs and maintenance opportunities from the large volume of sensor data. Rather than storing and processing all raw sensor data, the system selectively extracts features such as property conditions, vegetation health, and environmental factors that indicate actionable business opportunities, reducing data storage requirements while maintaining information quality.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS20250166082A1Systems and methods for environmental analysis based upon vehicle sensor data
Publication Date: 2025.05.22 STATE FARM MUTAL AUTOMOBILE INSURANCE COMPANY
  • US20250166082A1 patent drawing
  • US20250166082A1 patent drawing
  • US20250166082A1 patent drawing

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.