Antidrone – acoustic drone detection

Project overview

Period: September 2015–now

Client: Advanced Protection Systems

Project details

Drones popularity is growing, and so are concerns about their usage. The Antidrone project’s aim was to provide technology for acoustic drone localization and classification to our customer, Advanced Protection Systems, a company offering drone protection systems.


The project started with concept generation. Then proof of concept and demonstrator phases followed, aiming to validate and demonstrate the technology in a controlled environment. Inexpensive installation and rapidly prototyped software were used to check the fundamental assumptions at minimal cost. Different signal processing and machine learning techniques were evaluated (including SRP-PHAT, MUSIC, MVDR, MFCC, HMM, SVM). Based on the results, our customer was able to evaluate the potential of the technology.


The acoustic subsystem based on PICTEC’s algorithms for processing multi-channel audio signals and machine learning is a result of extensive field research and is unique in a sense that apart from drone localization, the system learns different drones’ and soundscapes’ acoustic characteristics during operation to optimize classification accuracy, achieving zero false alarm rates and accuracy above 90% during long-term tests.


Resulting prototype devices provided by us have been successfully tested for a long time in real-life conditions to meet the key functional and non-functional requirements. The system is now in the phase of building first installations at end user sites and is available on the market through