Page 70 - AI for Good Innovate for Impact
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AI for Good Innovate for Impact



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                             Item                                    Details
                       Code reposito- The source code and related datasets supporting this use case are publicly
                       ries             available and can be accessed through references


                      2      Use case description


                      2�1     Description

                      Traditional animal registration using RFID microchips is invasive, costly, and prone to issues
                      such as chip migration, incompatibility, or failure. These barriers hinder widespread adoption,
                      especially in low-resource settings, resulting in unregistered animals and poor vaccination
                      tracking—an acute public health risk, particularly for stray animals in regions like Africa.
                      Additionally, physical identifiers like tags or microchips are vulnerable to tampering or misuse,
                      leading to animal identity fraud, where one animal is intentionally or mistakenly presented as
                      another. This undermines the integrity of registration, traceability, and disease control systems.

                      To overcome these challenges, a non-invasive AI-powered biometric system has been
                      developed using canine nose prints. These nose patterns are unique and stable from as early
                      as two months of age [4], [5]. Deep learning models, trained in collaboration with veterinary
                      experts, enable instant, contactless identification via smartphones—eliminating the need for
                      surgical implants or specialized scanners.

                      This solution offers a scalable, cost-effective alternative to microchips. It enhances accuracy,
                      prevents duplicate or fraudulent registrations—including identity fraud—and simplifies data
                      updates through mobile apps. Crucially, it supports better disease tracking and aligns with
                      global health initiatives such as WHO’s “Zero by 30” [6] rabies elimination goal—making animal
                      management systems safer, more humane, and accessible worldwide.


                      Use case status: The use case is part of a larger product development

                      This use case is part of a global effort to develop an AI-based biometric animal ID system, with
                      pilots in South Korea, Australia, and Ghana showing its ease of use and highlighting the need
                      for broader integration and multi-species support.
                      Partner: Korea Racing Authority (KRA) [7]


                      2�2� Benefit of use case

                      •    Good Health and Well-being Systematic registration and tracking of animals enhance
                           disease surveillance and prevention, reducing the risk of zoonotic diseases (e.g., rabies).
                           This contributes to better public health and improves the well-being of both animals and
                           humans.
                      •    Implementing  biometric animal registration  fosters technological advancements  in
                           pet tech, AI-driven pet healthcare, and smart animal management systems, promoting
                           innovation in the pet industry.
                      •    By encouraging responsible pet ownership, biometric registration helps combat illegal
                           breeding and unethical animal trade.
                      •    By promoting responsible pet ownership, it contributes to the welfare of domestic animals
                           and supports broader wildlife conservation efforts, including anti-poaching initiatives.



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