We are a New Zealand-based charity that uses artificial intelligence to accelerate wildlife conservation.
Below is an overview of our active project ecosystems and infrastructure repositories.
Our flagship platform for managing and deploying smart camera traps. It allows researchers to configure hardware in the field and process data seamlessly.
- Mobile App: The primary React Native application for field researchers to connect to and configure hardware via Bluetooth.
- Backend: Core database logic and authentication powered by Supabase and PostgreSQL.
- Grove Vision AI Module: Firmware and configuration for Seeed Grove Vision AI modules used in real-time detection.
- Web Portal: A browser-based dashboard for managing large-scale deployments and data visualisation.
- User Guide: Comprehensive documentation and troubleshooting for the Wildlife Watcher system.
A citizen science and machine learning approach to identify fish in baited underwater videos.
- Spyfish Aotearoa Toolkit: Tools designed manage the footage and metadata of Spyfish Aotearoa, a collaboration between Wildlife.ai and Te Papa Atawhai to monitor Marine Reserves across Aotearoa using Baited Underwater Videos.
- Kūtai me te Ika: Scripts for the Kūtai me te Ika (mussels and fish) project to validate the viability of automatic fish identification from underwater video for large-scale, cost-effective monitoring of mussel farms.
The underlying systems that keep our organization and development teams running smoothly.
- Contributing Guidelines: Our global guidelines for anyone supporting wildlife with code. We follow a linear git history and rebase-first workflow.
- Open Accounting: Transparent financial tracking scripts for our charitable operations.
Contact: contact@wildlife.ai | Website: wildlife.ai