01
Live Command Dashboard
Monitor active vehicles, map context and high-priority alerts from one central view.
Product roadmap / prototype
ARGUS command platform
From raw telemetry to operational action.
ARGUS is TrackSense’s developing command-and-control environment for connected devices, secure location data and automated incident workflows.
Platform capabilities
Six coordinated views for complete operational context.
Each interface concept supports a distinct operator task while sharing one secure data foundation.
02
Device Management Panel
Register, organise and review device status across a connected deployment.
03
Geo-Fence Configuration
Define operational boundaries and associate them with vehicles, groups and alert policies.
04
SOP Management Interface
Configure rule-condition-action workflows for consistent incident response.
05
Security Audit Log Viewer
Review access and system actions for accountability and operational investigation.
06
Historical Playback
Replay routes and events to understand movement patterns and operational exceptions.
Platform architecture
Five layers, one operational picture.
ARGUS is structured as an API-driven system that separates field-device ingestion, data storage, security controls, operator interfaces and SOP automation.
01
Device Integration
Authenticate, validate and normalise incoming telemetry.
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02
Data & Geospatial
Store current and historical location information.
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03
Security Layer
Apply identity, roles, encryption and audit controls.
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04
Command GUI
Present live maps, events and management tools.
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05
SOP Engine
Trigger structured responses to defined conditions.
Why ARGUS
Designed to reduce the distance between an event and a decision.
Unified awareness
Bring location, device status, alerts and history into one operator environment.
Consistent response
Use documented SOP logic to reduce ambiguity during important events.
Security visibility
Make access and actions reviewable through role controls and audit records.
Extensible integration
Support multiple device types through a structured API and data-normalisation layer.