Belarus Unveils Scanner 2.1 Acoustic Drone Detection System
AI Analysis
Belarus has unveiled the Scanner 2.1, a passive acoustic drone detection system developed by InnoTech Solutions, designed to detect drones resistant to traditional RF detection methods. The system utilizes AI-powered acoustic signature analysis and provides alerts via mobile devices for distributed deployment. It boasts a compact design, long battery life, and varying detection ranges based on drone type and environment.
Key Takeaways
- The Scanner 2.1 is a passive acoustic detection system, relying on sound signatures rather than RF emissions.
- It specifically targets drones using fiber-optic control, prevalent in the Ukraine conflict, and distinguishes between different drone types (quadcopters, fixed-wing, FPV) based on acoustic profiles.
- Detection ranges are stated as 100-300m for FPV drones and 1000-1500m for fixed-wing drones, though these are environment-dependent.
- The system is lightweight (1.2kg), rapidly deployable (under 2 minutes), and offers over 12 hours of battery life.
- Alerts are delivered to smartphones and smartwatches, enabling mobile response teams without a fixed command center.
Why It Matters
The development of passive acoustic detection systems represents a significant advancement in counter-UAS technology, addressing the limitations of RF-based systems. This is particularly relevant given the increasing use of fiber-optic controlled drones which are difficult to jam or spoof. Belarus's investment in this technology suggests a growing concern over drone threats and a desire for independent defense capabilities.
Belarus Unveils Scanner 2.1 Acoustic Drone Detection System
Photo credit: Belarus Ministry of Defense
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Belarus has unveiled a new acoustic drone detection system called Scanner 2.1, developed by the Belarusian company InnoTech Solutions and presented at the State Authority for Military Industry on May 19, 2026, according to Belarusian state media reporting.
State Authority for Military Industry ExpoPhoto credit: Belarus Ministry of Defense
The system is designed specifically to detect drones that conventional radio-frequency monitoring cannot easily track, including the fiber-optic-controlled drones that have become a defining feature of the war in Ukraine.
Photo credit: Belarus Ministry of Defense
Scanner 2.1 is the latest iteration of the ALS Scanner platform that InnoTech Solutions has been developing as a passive acoustic detection system for low-altitude unmanned aerial vehicles.
What the System Is Built to Do
The Scanner 2.1 is an acoustic locating system that listens for the sound signatures of drones rather than scanning for their radio emissions. That is the technical point of the platform.
Quadcopter-type unmanned aerial vehicles with electric motors, fixed-wing UAVs with internal combustion engines, and first-person-view drones each produce distinct acoustic profiles from their propellers and powerplants. The system uses signal processing to identify those profiles in ambient noise and report the direction the sound is coming from.
When integrated with components of the broader ALS Scanner complex, the platform can determine flight parameters including speed and heading for fixed-wing drones, according to the manufacturer.
The notification approach is meant for distributed deployment. Alerts are pushed to smartphones and smartwatches carried by personnel, allowing mobile teams to receive warnings without needing a fixed command post.
The Specifications
The Scanner 2.1 hardware itself is small. The device measures 23 centimeters (9 inches) in diameter, weighs 1.2 kilograms (2.6 pounds), and is designed to be deployed by a single operator on the ground in under two minutes.
Photo credit: Belarus Ministry of Defense
A built-in power supply provides more than 12 hours of operating autonomy on a single charge, according to the manufacturer, which is the operational window needed for a sentry team running a perimeter for an overnight watch.
Stated detection ranges are 100 to 300 meters (328 to 984 feet) for first-person-view drones and 1,000 to 1,500 meters (3,280 to 4,921 feet) for fixed-wing drones with internal combustion engines, varying with the acoustic environment, according to the InnoTech Solutions announcement.
The system reportedly uses artificial intelligence algorithms to filter out extraneous noise and isolate drone acoustic signatures, though no independent technical evaluation of those algorithms has been published.