The American company Allen Control Systems (ACS) has developed a robotic installation Bullfrog, designed to autonomously detect and destroy small drones. This innovative system utilizes computer vision and artificial intelligence algorithms to accurately identify aerial targets.
Recently, the first tests of the Bullfrog were conducted at the training grounds of the US Department of Defense as part of the Technology Readiness Experimentation program. Impressive video footage captured during the tests shows the system flawlessly taking down multiple drones, even when they attempt high-speed maneuvers.
Co-founder and CEO of ACS, Steve Simoni, explained that the inspiration behind Bullfrog stemmed from the challenges faced in modern military conflicts. Traditional methods of shooting down enemy drones using firearms proved difficult due to the small and agile nature of the targets. However, the robotic system excelled in this task.
ACS engineers recognized the need for advanced technology to effectively intercept drones flying at high speeds with rapid directional changes and extreme gravitational forces. As a result, Bullfrog was developed as a cost-effective solution with precise electric drives and weapon positioning sensors.
Compared to expensive laser and microwave systems, Bullfrog offers a more affordable alternative. The economical design of the installation and its ammunition enables widespread deployment in critical areas where drone interception is crucial.
Although currently operated under human command, Bullfrog has the capability to function autonomously, according to ACS Director Brothers Cooper. The advancement of such robotic weapons, like Robot-Sobak in the Middle East, raises ethical concerns regarding the reliability of artificial intelligence in target selection.
Mike Clement, a former defense allocation employee, emphasized the importance of ensuring AI accuracy before allowing systems like Bullfrog to make independent decisions on targets. While technically feasible, the transition to full autonomy requires careful consideration of ethical implications and risk evaluation.