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AI for Good Innovate for Impact
Use Case 5: AI-Driven Biometric Animal Registration for Animal
Welfare and Global Health 4.1-Healthcare
Country: Republic of Korea
Organization: iSciLab Corporation
Contact person:
Changhyun Byun, Ph.D, cbyun@ iscilab .com
Kiyoung Jang, ky.jang@ kra .co .kr
1 Use case summary table
Item Details
Category Healthcare
The Problem to Traditional animal registration using Radio Frequency Identification (RFID)
be addressed microchips is invasive, costly, and impractical in many regions. This limits
pet identification, hinders rabies vaccination tracking, and results in poor
enforcement of animal welfare policies. Especially in low-income areas,
unregistered stray animals contribute to zoonotic disease spread and animal
neglect.
Key Aspects of • AI-powered biometric animal identification (e.g., nose print, facial recog-
the Solution nition) using mobile devices
• Non-invasive, low-cost alternative to RFID chips
• Digital vaccination and health record management
• Expansion to livestock (e.g., cattle, horses)
• Supporting global deployment and international standardization in
collaboration with ITU-T to ensure scalable and interoperable AI solu-
tions.
Technology Biometric Recognition, AI for Animal Welfare, Digital Identity, Vaccination
keywords Tracking
Data availability • Dog nose-print image data is available online [1]
• Cattle nose-print image data is available online [2]
• Horse biometrics image data is available online [3]
Metadata (type of Animal biometric images (nose print, facial features), species/breed/age/
data) owner info, vaccination history
Model Training Models trained on labeled biometric image datasets; transfer learning and
and Fine-Tuning fine-tuning for species-specific accuracy
Testbeds of pilot • Pilot in Korea in collaboration with Korea Racing Authority (KRA) for digital
deployments horse passport
• Field testing in African regions for rabies vaccination tracking and pet ID
• NGO and government partnerships for wider rollout
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