Short Abstract

We developed an AI-powered camera-enabled bird feeder capable of individually identifying wild birds. Through our citizen science programme these feeders are distributed across Europe. Data collected at these feeders is used to engage citizens with wildlife and science through a mobile app.

Abstract

We have developed a bird feeder that is able to take pictures and videos of birds and uses AI to individually identify visiting birds and obtain other information from them that is relevant for ornithological research. Through our citizen science programme, we distribute these bird feeders to citizens across Europe making each garden a study population.

Beyond counting on the citizens’ help to collect data on the local bird wildlife for ornithological research, we have designed a unique experience that connects people with nature and science, empowering them to contribute meaningfully to wildlife research beyond simple data collection.

Our bird feeder comes with an interactive mobile app that allows users to see their visiting birds and name them, developing a personal connection with each individual in the flock. Our app also includes gamification components that allows users to learn more about their visiting avian friends and science. Bird enthusiasts are known to possess above-average knowledge of the scientific process and strong ecological literacy. Building on this foundation, our project (through our app) encourages citizens to contribute directly to the research agenda by allowing them to propose or vote on topics and questions in the field of ecology, evolution and conservation that they would like to see being addressed using the collected data. This approach offers citizens a rare opportunity to engage directly with science beyond contributing data or resources, while providing scientists with feedback from hundreds of people and deeper insight into the drivers of public curiosity and ecological concern.