The value of crowd-sourced wildlife surveying is well established, with a reliance on the public especially effective when working with species across large geographical distributions.

The widespread adoption of smart-phones and the growing access to high-speed internet world-wide represents an important opportunity in the development of tools and projects capable of delivering low-cost and high-engagement community-driven wildlife surveys.

Further, advances in image recognition technologies can reduce the burden of domain-expertise by allowing automated systems to validate submitted results.

We apply these ideas to the development of a publicly accessible avian surveying tool.

Aden Northcote

Aolong Wang

Nikita Trukhin