Drone Flight Risk Analysis System with On-Demand Insurance

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Solution Overview

Problem

The increasing use of drones poses challenges in assessing and mitigating risks related to privacy, safety, and liability, as existing methods lack effective means to quantify and manage these risks in real-time, particularly in geospatial and temporal contexts.

Innovation Solution

A system and method that utilizes a mobile device to retrieve location data, calculate drone operation risks based on geospatial and temporal factors, and provide on-demand insurance quotes and policies, incorporating environmental and operational attributes to ensure coverage in defined areas.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If real-time risk assessment for drone operations is implemented using geospatial and temporal data, then insurance accessibility and tailoring for recreational and light commercial users is improved, but system complexity and data processing requirements increase

Engineering Contradiction:
Improveinsurance accessibilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments the risk assessment into multiple independent modules: geospatial data processing, temporal data processing, environmental factor analysis, and risk calculation. Each module handles specific aspects of risk evaluation separately, making the overall system more manageable and accessible while maintaining comprehensive coverage for diverse drone operations

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The platform is designed as a universal system that serves multiple user types (recreational and light commercial users) and multiple risk assessment functions through a single integrated platform. The system evaluates various risk factors including location, time, weather, and drone characteristics to provide comprehensive insurance solutions across different operational contexts

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

2Measurement precision

If comprehensive geospatial and temporal data processing is performed to calculate drone operation risks, then risk assessment accuracy is improved, but computational time and processing resources increase

Engineering Contradiction:
Improverisk assessment accuracyVSAvoidcomputational time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary processing of geospatial and temporal data by pre-establishing risk parameters, geofence boundaries, and temporal restrictions before actual drone operations. This allows the real-time risk assessment to reference pre-computed data structures, maintaining high accuracy while reducing computational time during active flight operations

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system dynamically adjusts assessment parameters based on the specific operational context, such as modifying the level of detail in geospatial analysis or temporal evaluation based on the drone type, location, and flight purpose. This adaptive parameter adjustment maintains assessment accuracy while optimizing processing efficiency for different scenarios

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10445836B2System and method for analyzing drone flight risk
Publication Date: 2019.10.15 VERIFLY USA LLC
  • US10445836B2 patent drawing
  • US10445836B2 patent drawing
  • US10445836B2 patent drawing

AI summary

A system for analyzing risk for operating drones, the system comprising a mobile device comprising program code that when executed by a programmable processor causes the mobile device to determine a location of a user of the mobile device by accessing a location tracking system, transmit the location to a server, receive, from the server, geospatial data and temporal data for a surrounding area of the location, calculate risks of operating a drone for a duration of time in a given coverage area within the surrounding area using at least the geospatial data and temporal data, generate a quote for an insurance policy for operating the drone for the duration of time in the given coverage area based on the calculated risks, facilitate a purchase of the insurance policy with the server, and generate a timer for the duration of time for operating the drone in the given coverage area.