KInsecta records insects with a multi-sensor system: optical, mechanical and acoustic signals instead of a net. In a web application, the project team reviews the measurements and identifies the species. The result is cleanly labelled datasets – the basis on which automatic insect recognition is trained. Behind the research project stand the Berliner Hochschule für Technik and the Umweltbildungszentrum Listhof.
We gathered the requirements together with the project team and built the web application – from the prototype through two stages of expansion to the public map view. Added to that: test and live servers, the development toolchain with automated deployment, and setting up the monitoring integration. Until the end of the project funding we kept servers and frameworks up to date. Today the community keeps collecting its insect data in this application.