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The growing use of small drones on the battlefield is creating new challenges for military forces. Detecting an incoming unmanned aircraft is only the first step—operators must also identify it quickly, keep it in sight and maintain accurate targeting, even while their own vehicle is moving across rough terrain. Any delay or instability can reduce the effectiveness of counter-drone systems and increase the chance of missing fast-moving aerial threats.
To address this, Gridbots has introduced two electro-optical systems designed to improve counter-unmanned aerial vehicle (C-UAS) operations: the Sleuthound Drone Tracker and Sleuthound-Stab. Working together, the technologies combine artificial intelligence, advanced optics and image stabilization to help operators detect, track and engage drones more effectively.
The drone tracker uses onboard AI to automatically identify and follow aerial targets. Rather than sending sensor data to remote servers for analysis, the system relies on edge computing, processing information directly inside the device. This reduces latency and enables faster responses, which is particularly important when tracking drones traveling at high speed.
According to NextGenDefense, the system can detect drones at distances of up to 1.5 kilometers and simultaneously track as many as 20 targets. Once an operator selects a target, the software can establish a tracking lock in less than one second, allowing connected weapon systems to react more quickly. To improve reliability, the tracker combines high-resolution electro-optical sensors with GPU-based image processing, reducing false detections while maintaining performance in challenging conditions such as smoke or dust. The system can also estimate the GPS location of moving aerial targets by combining information from multiple sensors.
Complementing the tracker is a stabilization platform designed for installation on moving military vehicles. Built around fiber-optic gyroscope technology, it compensates for vehicle movement to keep cameras, thermal imagers and targeting equipment pointed steadily at a target. The platform supports payloads weighing up to 10 kilograms and can integrate with high-zoom optical cameras, cooled medium-wave infrared sensors, laser rangefinders and laser designators.
Together, the two systems create a complete sensor suite that allows operators to continuously monitor the airspace, identify threats, measure target distance and provide accurate targeting data for guided weapons.
As drone threats continue to evolve, AI-assisted target tracking and stabilized sensor platforms are becoming increasingly important components of modern air defense. By combining automatic detection, rapid target acquisition and stable surveillance from moving vehicles, systems such as these are designed to reduce operator workload while improving the speed and accuracy of counter-drone engagements.
