Singapore Innovates AI-Driven Mobile Application for Identification of Sharks and Rays to Deter Illegal Wildlife Trafficking

Context

The partnership between the Singapore National Parks Board (NParks), Microsoft, and Conservation International has led to the innovative development of an AI-based mobile application named Fin Finder. This pioneering technology is designed to visually identify shark and ray species, a critical advancement in the ongoing battle against illegal wildlife trade. As shark and ray populations face unprecedented declines, largely attributed to illegal activities, this application aims to enhance conservation efforts through rapid species identification, thereby supporting global biodiversity.

Main Goal and Achievement

The primary goal of Fin Finder is to provide a swift and reliable method for identifying illegally traded shark and ray species, thus enhancing enforcement against wildlife trafficking. Through the implementation of an AI-driven algorithm, the application matches images of shark and ray fins against a comprehensive database containing over 15,000 entries. This technological innovation allows enforcement officers to accurately identify species in mere seconds, expediting the process of flagging suspicious shipments for further investigation. The collaboration with Microsoft’s AI for Earth program underscores the potential of integrating advanced technology into conservation practices.

Advantages of Fin Finder

• Rapid Identification: The application significantly reduces the time taken for species identification from an average of one week to just seconds, allowing for immediate action against illegal trade.
• Enhanced Enforcement Capabilities: By equipping officers with an easy-to-use tool for visual identification, the application strengthens the enforcement of CITES regulations, thereby bolstering conservation efforts.
• Comprehensive Resource Access: Fin Finder serves as a single-platform directory for relevant shark and ray species, providing officers with onsite access to reference materials for verifying CITES-approved permits.
• Collaboration Across Sectors: The project exemplifies the power of public-private partnerships in addressing environmental challenges, leveraging resources and expertise from diverse stakeholders.
• Support for Global Biodiversity: As a part of Microsoft’s AI for Earth initiative, Fin Finder contributes to global efforts in preserving wildlife and maintaining ecosystem balance, aligning technology with sustainability goals.

Limitations and Caveats

While Fin Finder represents a significant leap forward in combating illegal wildlife trade, certain limitations should be acknowledged. The reliance on image quality and environmental conditions can affect the accuracy of species identification. Additionally, while the application streamlines the identification process, it does not eliminate the need for traditional DNA testing in all cases, particularly for ambiguous specimens. The effectiveness of the application is also contingent on the continued collaboration among stakeholders and the regular updating of the species database.

Future Implications

The advancement of AI technologies within wildlife conservation signifies a transformative shift in the approach to environmental protection. As machine learning algorithms continue to evolve, future enhancements may include improved accuracy in species identification, broader databases encompassing more marine species, and the potential for integrating additional features such as real-time data analytics. Such innovations could further empower conservationists and law enforcement agencies in their efforts to combat wildlife trafficking, ensuring that ecological integrity is preserved for generations to come.