Shared detections
A person, vehicle, or drone detected on one connected sensor can be surfaced across the team.
Product overview · SPECTRA
The intelligence layer between detection and action.
SPECTRA is a deployable squad-level system that turns detections from cameras and drones into shared, real-time situational awareness across connected team devices.
SPECTRA combines edge hardware, visual sensors, computer vision, local networking, and augmented-reality interfaces so a detection made by one device can be understood by the whole team.
System architecture
From sensor input to a shared field view.
The product is designed around a local, deployable stack rather than a disconnected set of individual feeds.
- 01
Observe
Cameras and drone feeds supply visual input.
- 02
Process
Edge AI identifies people, vehicles, and drones.
- 03
Distribute
The local network synchronises detections between devices.
- 04
Interpret
AR overlays and alerts present a shared operational picture.
Publicly described capabilities
More than object detection.
SPECTRA is being built as an intelligence and coordination layer, not simply a detector.
Threat prioritisation
The system is designed to help order detections by operational relevance.
Movement tracking
Detected movement can be followed over time instead of treated as an isolated event.
Attention mapping
The shared view can indicate what teammates have or have not attended to.
Missed-threat alerts
Alerts are intended to highlight important detections that may otherwise go unnoticed.
AR field overlays
Spatial information is designed to appear where the operator needs it, through connected augmented-reality views.
Why it exists
Radio describes. SPECTRA synchronises.
Operational need
Radio-only coordination
With SPECTRA
Share a detection
Operator describes it verbally
Detection is distributed to connected devices
Understand location
Teammates interpret the description
Spatial position appears in the shared view
Track change
Requires repeated updates
Movement is tracked by the intelligence layer