Fraunhofer IDMT demonstrates acoustic drone detection at Drone Days 2026 in Bremen/Hatten
Drones can pose a security risk to airports, critical infrastructure, military facilities, and large-scale events. However, they are difficult to detect when they fly beyond visual line of sight, for example, when visibility is impaired by terrain, buildings, or weather. Fraunhofer IDMT in Oldenburg has developed an intelligent acoustic sensor solution that detects and localizes drones based on their characteristic sound patterns, even without visual contact. Fraunhofer IDMT experts will demonstrate the technology live on a demo vehicle during Drone Days from August 26 to 28.
When an unmanned aerial vehicle approaches a sensitive area, every second counts. Security personnel need to determine as early as possible whether a drone is approaching, where it is located, and how the situation is developing. Conventional detection methods provide important information, but they are not equally reliable in every environment: lines of sight may be obstructed, and radio signals may be disrupted. Acoustic sensing offers an additional detection channel. As a complementary component used together with radar, cameras, and lidar, it can make existing security systems more robust and provide indications where optical or radio-based methods reach their limits.
Identifying drones based on their acoustic fingerprint
Researchers at the Fraunhofer IDMT's Oldenburg Branch for Hearing, Speech and Audio Technology HSA analyze the acoustic signals emitted by drones. Each drone produces a characteristic sound pattern—an acoustic fingerprint. Machine learning algorithms identify these patterns even in complex, noisy environments. Signals from multiple microphones can also be used to determine the direction from which the flying object is approaching. This allows drones not only to be detected, but also to be localized and spatially positioned.
“With our acoustic technology, we offer a cost-effective, low-maintenance complement to existing drone detection systems,” explains Christian Rollwage, group manager of Audio Signal Enhancement at Fraunhofer IDMT in Oldenburg. “Especially in built-up or forested areas, acoustics can provide decisive added value because it can detect drones even when they are not yet visible to other sensors.”
Passive and efficient
While radar and camera systems may involve high costs and require substantial computing power, acoustic sensing offers a particular advantage through its low energy demand: It passively receives sound emissions and vibrations from the environment without actively transmitting signals itself and thus remaining undetectable. The technology can be deployed across large areas and operated autonomously. It is also suitable as a “wake-up” component that activates additional sensors only when an acoustic indication of a drone is present. In the future, this technology could also be applied to other acoustic events, such as vehicles or gunshots.
The development is based on many years of research at the Oldenburg site. Since 2016, Fraunhofer IDMT has advanced the acoustic detection and localization of drones, including through the joint projects AMBOS and ALADDIN. In further internal projects, algorithms, system components, and integration options have been continuously refined. Today, both easily integrable software components and a fully integrable system solution are available.
Live demonstration at Drone Days 2026
Fraunhofer IDMT will provide a hands-on demonstration of the solution at Drone Days 2026. On August 27 and 28, interested visitors can experience the technology live on the outdoor grounds in Hatten and talk with Fraunhofer experts Christian Rollwage, Moritz Brandes, and Christian Colmer. The acoustic detection technology has been integrated into the “The Hearing Car” demo vehicle and shows drone detection and localization in real time.
About Fraunhofer IDMT-HSA
Founded in 2008 by Prof. Dr. Dr. Birger Kollmeier and Dr. Jens-E. Appell, the Fraunhofer Institute for Digital Media Technology IDMT’s Branch for Hearing, Speech and Audio Technology HSA stands for market-oriented research and development with a focus on the following areas:
- Speech and event recognition
- Sound quality and speech intelligibility
- Mobile neurotechnology and systems for networked healthcare
With in-house expertise in the development of hardware and software systems for audio system technology and signal enhancement, the employees at the Oldenburg site are responsible for transferring scientific findings into practical, customer-oriented solutions.
Through scientific cooperation, the institute is closely linked to the Carl von Ossietzky University, Jade University of Applied Sciences, and the University of Applied Sciences Emden/Leer. Fraunhofer IDMT is a partner in the "Hearing4all" cluster of excellence and in the Collaborative Research Centre "Hearing Acoustics".
For more information, visit www.idmt.fraunhofer.de/hsa.
https://www.idmt.fraunhofer.de/hsa
Hearing drones before you see them: Fraunhofer IDMT’s solution detects and localizes drones also bey ...
Copyright: Fraunhofer IDMT/Hannes Kalter
Visualization of drone detection and localization
Copyright: Fraunhofer IDMT
Merkmale dieser Pressemitteilung:
Journalisten, Wirtschaftsvertreter, Wissenschaftler, jedermann
Elektrotechnik, Informationstechnik, Politik, Verkehr / Transport, Wirtschaft
überregional
Forschungs- / Wissenstransfer, Forschungsergebnisse
Englisch

Hearing drones before you see them: Fraunhofer IDMT’s solution detects and localizes drones also bey ...
Copyright: Fraunhofer IDMT/Hannes Kalter
Visualization of drone detection and localization
Copyright: Fraunhofer IDMT
Sie können Suchbegriffe mit und, oder und / oder nicht verknüpfen, z. B. Philo nicht logie.
Verknüpfungen können Sie mit Klammern voneinander trennen, z. B. (Philo nicht logie) oder (Psycho und logie).
Zusammenhängende Worte werden als Wortgruppe gesucht, wenn Sie sie in Anführungsstriche setzen, z. B. „Bundesrepublik Deutschland“.
Die Erweiterte Suche können Sie auch nutzen, ohne Suchbegriffe einzugeben. Sie orientiert sich dann an den Kriterien, die Sie ausgewählt haben (z. B. nach dem Land oder dem Sachgebiet).
Haben Sie in einer Kategorie kein Kriterium ausgewählt, wird die gesamte Kategorie durchsucht (z.B. alle Sachgebiete oder alle Länder).