Ingest & Normalize
Source adapters convert heterogeneous feeds into a canonical observation schema — preserving provenance, timestamp, coordinate frame, and quality.
NexusFusion UrbanSense · Dual-Use AI Platform
Turning Urban Data into Real-Time Insight Through AI
UrbanSense is a sensor-agnostic AI middleware platform that repurposes existing urban infrastructure to deliver scalable, real-time situational awareness and anomaly detection — without installing new hardware.
One Platform. Many Sources. Actionable Insight.
The fragmentation problem, solved
Cities already possess valuable sensing infrastructure — cameras, acoustic sensors, RF receivers, traffic and transit feeds, environmental stations, and more. These feeds are fragmented by vendor, department, format, and purpose.
UrbanSense converts those disconnected feeds into one coherent, privacy-preserving operating picture. It is not a replacement sensor network — it is the intelligence layer that makes the infrastructure you already own produce coherent, actionable output.
561+
Backend tests
98+
Frontend tests
229+
NexusFauna logical sources
600
Sim-validated sources
2,000
Clean simulated scenarios
Platform overview — sensor ingestion through explainable alert
UrbanSense Processing Pipeline
From raw observation to explainable incident
Privacy Gateway
Prohibited data is removed or generalized before any publication or storage. Privacy enforcement precedes downstream processing.
Event Bus
Observations are routed to tracked-entity or contextual-telemetry handling — separating discrete objects from ambient conditions.
Fusion & Correlation
Evidence is associated across sensors, time, and geography. Confidence, uncertainty, and source health are propagated through every step.
Incident Eligibility
Eligibility rules determine whether correlated evidence meets the threshold for a reportable incident — distinct from raw detection.
Incident Lifecycle
Confirmed incidents move through provisional, active, monitoring, and resolved states with full audit trail.
Storage & Alerting
Incidents and evidence are stored for replay, reporting, and forensics. Alerts are issued through REST, WebSocket, and operator UI.
APIs & Provenance
Machine-readable outputs include contributing sources, confidence, rationale, and full provenance — enabling external system integration.
Primary Use Cases
Designed for defence and public-safety operations
Distributed Urban Counter-UAS
Correlate RF, acoustic, camera, and radar observations across city blocks to detect, track, and assess small UAS without dedicated defence sensors.
Traffic & Mobility Disruption
Fuse transit feeds, traffic sensors, and environmental data to detect blockages, unusual patterns, and mobility-affecting incidents in real time.
Critical Infrastructure Protection
Continuous monitoring of perimeters, airspace, and environmental conditions around energy, utility, communications, and port sites.
Abnormal Crowd Formation
Privacy-preserving aggregate crowd analysis — density, flow anomalies, and clustering — without facial recognition or individual tracking.
Environmental & Hazard Indicators
Integrate environmental, weather, vibration, and infrastructure sensors to detect early warning indicators of hazardous conditions.
Source Degradation & Resilience
Source-health monitoring detects degraded, spoofed, or failed feeds. The system continues operating and explicitly reports reduced confidence.
Privacy & Compliance by Design
Built to comply with Canadian values and law
Privacy enforcement is not a post-processing step — it is the second stage of the pipeline. Prohibited data is removed or generalized before any observation is published, stored, or shared. UrbanSense is designed to operate within Privacy Act, Charter, and GBA Plus requirements.
Sovereign Canadian IP. Designed and built in Canada for Canadian operations and export under Canadian control.
- ▸ No facial recognition
- ▸ No individual tracking
- ▸ No speech transcription
- ▸ No licence plate retention
- ▸ Configurable precision floor
- ▸ Anonymous track IDs
- ▸ Audit logging
- ▸ Privacy by design — not by policy
Edge Deployable
- ▸Compact footprint
- ▸Low power
- ▸Interactive modes
- ▸Offline-capable
- ▸Secure by design
Flexible Deployment
Runs where the data is produced
UrbanSense supports both portable edge profiles and central-node deployment. The edge profile runs on ruggedized compute with local storage, offline operation, and no cloud dependency — critical for forward-deployed and bandwidth-constrained environments.
Both profiles share the same pipeline, API, and explainability layer. A central node can aggregate multiple edge deployments into a unified operating picture.
Relevance to Defence & Public Safety
Urban awareness without dedicated infrastructure
Counter-UAS in Urban Areas
Exploit locally available RF, acoustic, and camera infrastructure to detect and assess small UAS operating in complex urban environments where dedicated defence radar is impractical.
G7 and Domestic Operations
Rapid urban awareness for major-event security, critical-infrastructure protection, and emergency response operations — deployable without pre-positioned defence sensors.
Coalition Urban Operations
Machine-readable outputs enable integration with ATAK, SAPIENT, CoT, and external command-and-control systems. Open architecture supports coalition interoperability.
See UrbanSense in operation.
UrbanSense is available as a demonstration system with simulated urban feeds. Contact us to arrange a capability demonstration or discuss program fit.