The US defense technology company - Base Molecular Resonance Technologies (BMRT) is promoting a new detection method that could change the way military forces track unmanned aerial vehicles (UAVs) carrying explosives.
The company said the system is called Base Molecular Resonance (BMR), which works by stimulating and identifying the molecular signatures of each type of material, thereby accurately identifying the substance that the UAV is carrying.
Unlike many current solutions that focus on monitoring communication signals, emissions or flight characteristics of unmanned aerial vehicles, BMR directs its attention directly to payload.
This allows the system not only to detect UAVs but also to assess the level of danger of transported objects.
In a recent test, the BMR sensor successfully detected a nitrocellulose-based propellant inside a 9 mm round mounted on a rope-tied UAV. According to BMRT, the recognition capability is still maintained when the device flies at an altitude of over 61 meters.
Mr. Lee Duke, co-founder and Chairman of BMRT, said that air threats are changing very rapidly. Many forces around the world are increasingly using small, low-cost UAVs but capable of carrying warheads or dangerous explosives.
“Opponents are shifting to smaller, cheaper and easier-to-remplace platforms that can still carry significant impact. These tests are an important step forward in changing the way threats are detected and prevented in the future,” Lee Duke said.
According to BMRT, subsequent performances will be organized with the participation of representatives of the government, the military and security agencies to further assess the effectiveness of the technology.
The emergence of the BMR system reflects a trend of change in anti-UAV strategy. Instead of just focusing on detecting aircraft, developers are aiming for the ability to accurately identify the type of material or weapon that the UAV carries.
This trend becomes particularly important as recent conflicts show that cheap UAVs are increasingly being used to transport grenades, anti-tank warheads, ammunition and many other explosives. In many cases, the cost of UAVs is only a very small part compared to the defense systems deployed to deal with them.
In addition, the electronic warfare environment is also becoming more complex. Many UAVs currently use fiber optic connections or special communication methods to reduce the risk of interference or signal interception. This makes traditional detection methods more challenging.
In that context, molecular recognition technology such as BMR is expected to add a new layer of defense. Instead of completely relying on control signals or operating characteristics of UAVs, the system can focus on the nature of the load, helping military forces more accurately assess the level of threat and đưa ra appropriate response measures.
