Uniting AI and ancient wisdom: How WildTrack and AWS are revolutionizing wildlife monitoring

This article showcases how WildTrack, an AWS-powered nonprofit, combines traditional tracking knowledge with AI to revolutionize wildlife monitoring through footprint analysis.

• WildTrack merges ancient indigenous tracking expertise with machine learning for non-invasive wildlife monitoring
• Footprint analysis provides 24/7 continuous data on animal movement without invasive collaring or tagging
• Global wildlife populations declined 73% in past 50 years, creating urgent conservation data needs
• Built world's first large-scale curated wildlife footprint database achieving 90% accuracy across 17 species
• AWS infrastructure reduced model training and deployment cycles from weeks to days
• Used AWS Control Tower, Landing Zone Accelerator, and MLOps tools for secure, scalable foundation
• Developing specialized models for specific conservation challenges across 30+ field projects worldwide
• Public can contribute via WildTrackAI app by photographing footprints during outdoor activities

WildTrack demonstrates how combining traditional ecological knowledge with modern AI and cloud infrastructure creates scalable, ethical solutions for global biodiversity protection.