Frontline Perception
Turn raw sensor data into real-time detection, classification, and targeting at the edge.
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TARGET DETECTED
TARGET DETECTED
TARGET DETECTED
TARGET DETECTED
TARGET DETECTED
TARGET DETECTED
Turn raw sensor data into real-time detection, classification, and targeting at the edge.
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Modern operations generate more sensor data than teams can process, creating bottlenecks between collection, analysis, and action. Frontline Perception helps operators find, prioritize, and adapt to emerging threats in real time, turning complex sensor data into decision advantage – right when and where the mission happens.
Instantly translate sensor inputs into detections, classifications, and persistent tracks that help operators see, identify, and prioritize threats faster in DDIL environments.
Automate search through large volumes of data from every sensor type, including drones, cameras, and ISR feeds, all brought into a single operational view.
Learn and exploit how targets and areas evolve across time and location, from individual detections to broader activity patterns.
Deliver detections, tracks, alerts, and targeting data to the right operators and systems in real-time, no cloud connectivity required.
Interoperability & Compatibility
Built on an open, modular architecture (MOSA) that integrates across vendor-diverse platforms and autonomy stacks, and can work with any sensor, mission system, TAK/CIP/COP tool, and third-party model.
Built for DDIL
Fully functional in contested, degraded, and disconnected environments.
Edge Adaptation
Retrain, tune, label, and deploy ATR models directly at the edge without the risks of cloud infrastructure.
Edge Dynamic Support to Targeting
Continuously adapts detections, prioritization, and targeting based on changing mission conditions, sensor inputs, and operator-defined objectives.
Edge Optimization
Optimizes models to run on constrained edge hardware including Raspberry Pi + Hailo and Snapdragon.
Multi-Sensor Fusion and Detection Sharing
Combines EO, IR, RF, radar, ELINT, and external sensor inputs into correlated detections and tracks, then automatically shares intelligence across assigned AOs and units.
Model Repository & Distribution
Host, tag by keyword, organize, and resiliently distribute proprietary, open-source, legacy, and third-party models across mesh and disconnected networks.
Geospatial Mission Management
Search by mission or area of interest, import KML/KMZ geofences, visualize MGRS-based operations, and manage mission areas through an interactive map.
Persistent Object Tracking
Optical flow-powered tracking maintains object continuity across frames for more reliable detections and situational awareness.
Sensor-to-Shooter
Delivers real-time detections and targeting workflows with sub-6-second operational timelines.