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Insurance verified Verified Outcome TRL 9

Biometric Identification for Livestock Insurance

domain Client: Rural Agriculture Cooperatives handshake Provider: Ping An Technology schedule Deploy: 2018-Present
96 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: Very High

Executive Summary

ANALYST: COI RESEARCH

Deployment of AI-powered facial recognition technology for cows and pigs to automate identity verification, fraud prevention, and claims processing for agricultural insurance.

rate_review Analyst Verdict

"A breakthrough application of computer vision in a low-tech sector. It solves the two biggest problems in micro-insurance: the high cost of claims adjustment (sending a human to a farm) and moral hazard (fraud)."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

insuring livestock in rural China was plagued by fraud (farmers claiming the same dead animal multiple times) and high operational costs. Verifying a claim required an adjuster to travel to remote farms to physically inspect the animal's ear tag, which could be easily faked or removed. This friction made agricultural insurance unprofitable and slow.

psychology The Solution

Developed a facial recognition algorithm specifically for livestock. Farmers use a smartphone app to scan the animal's face (which has unique biometric features like human fingerprints). The system creates a digital ID. In the event of death, the farmer scans the carcass; the AI verifies the identity against the policy and checks GPS data to confirm the location, triggering an automated payout.

settings_suggest Technical & Deployment Specs

Integrations
Banking Systems (for loans)
Deployment Model
Mobile App / Cloud
Data Classification
Biometric Data
Estimated TCO / ROI
Low (Leverages user smartphones)
POC Summary (2017 to 2018)

"Scaled from pilot to millions of animals."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Biometric Drift Medium Regular re-scanning requirements.
Device Connectivity High Offline mode with delayed sync.

trending_up Impact Trajectory

Audited value realization curve

Claims processing reduced from days to ~3 minutes Verified Outcome
Primary KPIIdentification accuracy >90%
Audit CycleEnabled loans using cows as verifiable digital collateral

policy Compliance & Gov

  • Standards: China Insurance Regulatory Commission
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Biometric Data

folder_shared Verified Assets

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Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for Rural Agriculture Cooperatives without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-557
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-557

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