High-Performance AI for Sensor Fusion, Situational Awareness & Autonomous Mobility
PiR2-IT designed and developed a prototype AI platform that combines high-performance image analysis, radar + camera fusion, and audit-ready reporting, with a modular architecture and a master–agent orchestration model. The demonstrator targets regulated, mission environments and is currently in testing to validate robustness, integration, and assurance evidence.
Prototype status
- Developed by PiR2-IT as a prototype / demonstrator
- Currently in testing with iterative hardening and integration validation
- Focus: sensor fusion quality, resilience, auditability, and integration readiness
Key capabilities
Designed for demanding, regulated contexts — prioritizing evidence, safety constraints, and secure operations.
AI perception
High-performance computer vision for situational awareness and event detection, optimized for edge deployment.
Sensor fusion
Radar + high-performance camera fusion for improved confidence and reduced false positives.
Audit-ready reporting
Automatic evidence trails, structured logs, and reviewable outputs for oversight and accountability.
Autonomous mobility (governed)
Navigation and route planning support with policy constraints and human control appropriate for regulated environments.
Master–agent orchestration
Master node coordinating specialized agents (“slaves”) for modular processing, tasking and scaling.
Modular architecture
Plug-and-play components for sensors, compute and integrations — built for maintainability and rapid upgrades.
PiR2-IT provides IT and digital engineering (AI, sensor fusion, cybersecurity, integration, governance, V&V). We do not provide weaponization services or guidance.
Border & critical-infrastructure protection (safe architecture view)
Without operational tactics, PiR2-IT approaches airspace protection as a layered detection, identification, governance and evidence problem. The focus is on situational awareness, auditable decision-making, and resilient operations in regulated environments.
Multi-sensor detection
Layered sensing using radar, RF direction finding, EO/IR cameras and (where applicable) acoustic inputs, fused into a single operating picture.
Identification & classification
AI-assisted classification with confidence scoring, anomaly detection and traceable evidence (time, location, sensor provenance, decision logs).
Geofencing & alerting
Policy-defined zones and automated alerts for operators, with escalation workflows and human governance (human-in-the-loop).
Resilience & continuity
Designed to operate under communications constraints and GNSS-challenged conditions, with redundancy and graceful degradation.
Cybersecurity (Zero Trust)
Continuous verification, least privilege, segmentation, secure telemetry and tamper-evident logging across sensors, edge compute and services.
Compliance & audit
Clear accountability, evidence packs, and compliance controls to support regulators, incident response and post-event review.
We support detection/awareness architectures, secure integration, governance and V&V. We do not provide weaponization or interception instructions.
V&V / assurance
A disciplined approach to verification, validation and evidence suitable for mission-grade delivery.
Traceability & quality gates
- Requirements → design → implementation → test evidence
- Acceptance criteria and regression controls
- Configuration baselines and decision logs
Resilience testing
- Noise/occlusion and degraded sensor conditions
- Performance profiling for edge constraints
- Security controls validation and monitoring readiness