Smart Contract Fund Release for Disaster Zones
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Solution Overview
Problem
Existing methods for providing disaster relief are time-consuming and resource-intensive, often requiring human agents to assess damage, which can be delayed by environmental conditions, preventing timely access to funds for affected individuals.
Innovation Solution
A system and method utilizing AI and blockchain technology to automatically detect impending disasters, classify the type of disaster, and trigger the release of predefined blockchain-based assets to affected individuals, even in areas with disrupted communication infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human agents conduct surveys to assess damage, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary actions by pre-establishing smart contracts with predefined payout conditions and using AI models to predict disaster impacts before disasters occur. When disasters happen, the system automatically executes payouts based on pre-configured parameters, eliminating the need for time-consuming post-disaster survey assessments while maintaining accuracy through predictive modeling.
Solution Approach 2:
The system enables self-service through automated AI-based damage assessment and smart contract execution. The AI model autonomously analyzes disaster data, determines affected areas, and triggers fund releases without human agent intervention. The smart contracts automatically execute payouts when predefined conditions are met, allowing the system to serve itself and eliminate manual processing delays.
2Measurement precision
If human agents visit structures to examine disaster effects, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system replaces the mechanical system of human agents physically visiting structures with an automated AI-based digital assessment system. The AI model processes disaster data, satellite imagery, and sensor information to evaluate damage remotely, substituting human physical examination with algorithmic analysis. This reduces operational complexity while maintaining assessment precision through sophisticated data processing capabilities.
3Reliability
If traditional claim processing channels are used, then reliability is maintained, but loss of time increases
Solution Approach 1:
The system introduces smart contracts as intermediaries between disaster detection and fund distribution. These self-executing contracts automatically verify disaster conditions, validate claim eligibility, and execute payouts when predefined criteria are met. This intermediary layer maintains reliability through programmable verification while dramatically reducing processing time by eliminating manual claim handling steps.
Solution Approach 2:
The system changes the operational parameters of fund distribution from manual, sequential processing to automated, event-triggered execution. By parameterizing payout conditions in smart contracts and using AI-based disaster detection, the system transforms the distribution process into an automated response mechanism that maintains accuracy through predefined validation rules while reducing time through parallel processing and immediate execution upon condition fulfillment.
Data Source
AI summary
A method and system for improving and automating the identification of homes located in an imminent or current disaster zone and causing an immediate release of funds to residents without requiring the insured member to first submit a claim are disclosed. The system and method are configured to determine whether there is a high likelihood of a disaster event occurring in a region, based on external sources or local device sensors. In response to the disaster event, a smart contract is executed such that funds are expeditiously released via a distributed ledger system to insured members in the first region.