Answers to typical questions on deployment scope, integration, and evaluation flow for mission programs.
Garuda operates as the onboard perception layer, converting sensor data into real-time inputs for control and guidance systems.
Garuda converts sensor data into real-time actionable inputs for mission systems—enabling onboard decision support without reliance on ground processing.
Garuda is an onboard vision compute platform for real-time detect and track in UAVs and ISR systems. It performs inference on the edge, enabling low-latency operation without reliance on continuous communication links.
Garuda functions as an onboard perception subsystem, interfacing with EO/IR sensors and feeding detection and tracking outputs into flight control or guidance systems. It operates within the mission loop, not as a standalone component.
No. Garuda performs all core processing onboard. A ground station is optional for monitoring or override, but detect-and-track functionality does not depend on connectivity.
Yes. Garuda outputs target coordinates and tracking data, which can be consumed by flight controllers or guidance systems. Integration is done at system level based on mission requirements.
Garuda supports EO (visible) and IR (thermal) cameras, including dual-sensor configurations. It can also participate in broader sensor-fusion architectures at the system level.
There is no fixed limit. Performance depends on model complexity, scene density, and frame rate. Systems are tuned for stable, real-time tracking rather than maximum object count.
Yes. Models are trained offline using mission-specific datasets and deployed onto Garuda. Each mission can have different object classes and detection logic.
No, not as a standard product. We support dataset definition, sourcing, and annotation workflows. Customers typically use mission-specific or classified datasets.
Yes. Garuda provides real-time detection and tracking outputs that feed into guidance systems. It enables vision-based targeting but operates as part of a larger control and guidance architecture.
Developing onboard vision systems is a complex multi-domain engineering effort across embedded hardware, real-time pipelines, and edge AI optimization. Garuda is a productized platform deployed as a mission-integrated perception subsystem, reducing development risk and accelerating deployment.
Garuda is not a plug-and-play module—it is a deployable perception capability integrated and configured for each mission.