Abstract
This poster will give an overview of how Artificial Intelligence (AI) models can be integrated with Survey123 to detect objects in an image and auto-populate survey responses. Survey123 is a mobile survey application used by researchers at University of Michigan to collect information such as artifacts in archaeological field sites, balloon debris for a citizen science project, and pollinator presence in our campus gardens. As an example, we will show how a user may build their own AI model using the ArcGIS deep learning libraries to identify plant species in an image, integrate this model into a Survey123 form, and automatically capture species information using a mobile device’s camera. This new Survey123 capability can streamline data collection by minimizing user input, as well as power citizen-science projects where users may not be fully familiar with the detected objects.