Some widely used biodiversity monitoring practices are undesirable because they are lethal. For example, newts are often trapped for hours before they are identified, and insects are killed in many cases for species identification. What if we applied the newest technologies including affordable high-resolution cameras and AI classification models to these species? At our institute, we developed devices for both examples mentioned.
This talk will focus on the open-source software App4Cam that is running on these devices. It enables researchers to configure their camera traps efficiently and easily in the field as well as to access the data collected while maintaining a low energy consumption. We will look at which projects made the creation of App4Cam possible, what technology stack is being used, what challenges the project faces and what the future might look like.
