Company or Institution

Appsilon

Industry

Environment

Website

https://appsilon.com/data-for-good/mbaza-ai/

Country

Poland

Sustainable Development Goals (SDGs)

General description of the AI solution

Mbaza AI is an open-source algorithm that allows rapid biodiversity monitoring at scale, without an internet connection or the latest hardware. It offers a complete solution with the capacity to restructure camera trap-based biodiversity monitoring in remote ecosystems.

Github, open data repository, prototype or working demo

https://github.com/Appsilon/mbaza
https://github.com/Appsilon/mbaza/releases/download/v2.0.0/Mbaza.AI.Setup.2.0.0.exe

Publications

1. "High performance machine learning models can fully automate labeling of camera trap images for ecological analyses" at https://www.biorxiv.org/content/10.1101/2020.09.12.294538v2

2. "Robust ecological analysis of camera trap data labelled by a machine learning model" at https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.13576

3. The Guardian's "Five ways AI is saving wildlife – from counting chimps to locating whales" at https://www.theguardian.com/environment/2022/feb/21/five-ways-ai-is-saving-wildlife-from-counting-chimps-to-locating-whales-aoe

4. Euronews' "From the polar bear capital of the world to tropical Gabon, AI is helping to fight biodiversity loss" at https://www.euronews.com/living/2020/12/05/from-the-polar-bear-capital-of-the-world-to-tropical-gabon-ai-is-helping-to-fight-biodiver

5. Afrik21's "GABON: “Mbaza AI” software to improve the conservation of the Lopé Park" at https://www.afrik21.africa/en/gabon-mbaza-ai-software-to-improve-the-conservation-of-the-lope-park/

Needs