Autonomous fawn tracking system based on drone images and CNNs

Vitali Czymmek; Clarissa Möller; Enno Schacht; Leif Ole Harders; Stephan Hussmann

doi:10.1117/12.3005540

4 October 2023 Autonomous fawn tracking system based on drone images and CNNs

Vitali Czymmek, Clarissa Möller, Enno Schacht, Leif Ole Harders, Stephan Hussmann

Proceedings Volume 12607, Optical Technology and Measurement for Industrial Applications Conference; 126070G (2023) https://doi.org/10.1117/12.3005540
Event: Optics and Photonics International Congress, 2023, Yokohama, Japan

Abstract

According to estimates by the German Wildlife Foundation, approximately 90,000 fawns are injured or killed during harvesting operations in Germany each year. In recent years, drones with thermal imaging cameras have been increasingly used to locate fawns before harvesting and bring them to safety. However, this process is often time consuming and requires several people to conduct a search. In this paper an autonomous fawn tracking system based on drone images and CNNs is presented that automatically performs a fawn search with a high positioning accuracy.

Citation Download Citation

Vitali Czymmek, Clarissa Möller, Enno Schacht, Leif Ole Harders, and Stephan Hussmann "Autonomous fawn tracking system based on drone images and CNNs", Proc. SPIE 12607, Optical Technology and Measurement for Industrial Applications Conference, 126070G (4 October 2023); https://doi.org/10.1117/12.3005540

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