Drone acoustic detection
ALARM

Detection and identification of drone

Acoustic intelligence

01

Passive acoustic sensor

Noise isolation and positionning of noise sources

02

AI for reliable and robust identification

Machine learning based AI to avoid false positive

03

Integration into third party control command system

Azimuth and elevation communicated to the command system

04

Perimeter protection

Multi-sensors system for wide area coverage

An Innovative Acoustic Solution to Counter the Threat of Malicious Drones

For several years, malicious drones have posed an increasing threat, particularly due to their small size and their ability to take off in close proximity to their targets. Traditional detection systems (radar, radio frequency, optronic) show their limitations against these devices, which are often transported discreetly before being deployed.

To address this challenge, MicrodB has developed ALARM, an advanced acoustic sensor built on 30 years of expertise in noise source identification. Thanks to technological advances in MEMS sensors and artificial intelligence, this solution enables real-time drone detection and localization, even in noisy environments.

Proven and Complementary Technology

ALARM offers a detection range up to 1000 meters, ideal for securing sensitive sites (urban, military, or industrial). Passive and undetectable, acoustic technology has already proven its effectiveness in Ukraine, where it efficiently replaces human listening in the trenches. Multiple sensors can be networked to cover larger areas, providing an acoustic overview that complements other detection systems.

An Adaptive Solution for Evolving Threats

Beyond drone detection, ALARM is designed to learn and recognize new acoustic threats, ensuring a sustainable and future-proof solution.

Key Features

  • Intuitive graphical interface with a polar display for fully autonomous operation
  • Comprehensive historical analysis tools for post-event investigation and system optimization
  • Seamless integration with any standard command-and-control system
  • Detection range up to 1,000 meters, depending on drone type and environment
  • Advanced signal processing algorithms for effective noise reduction in complex acoustic environments
  • AI-driven threat detection, powered by machine learning models currently trained on drone signatures — easily extendable to recognize any new acoustic threat

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