DRAIDIS Use Case
Continuous perimeter decision support with operator-controlled alert triage
The Challenge
Forward operating bases and combat outposts must watch for ground threats across large perimeters and changing conditions. Guard towers, patrols, cameras, radar, and other sensors each see part of the picture, while operators still need to decide which events require action.
How DRAIDIS Solves It
DRAIDIS BRAVO brings selected thermal, EO/IR, radar, and acoustic observations into a shared security view. It ranks candidate events using thresholds your team sets and presents the supporting evidence to operators. During the pilot, your team measures coverage, false alerts, missed detections, latency, and operator workload at the site. Your team decides whether site observations may be used to evaluate or improve a model.
Local Monitoring
Process selected thermal, EO/IR, radar, and acoustic feeds locally and show operators sensor health, coverage, and the age of each observation.
Candidate Detection
Use models tested on representative site data your team selects to flag possible people, vehicles, and unusual activity for operator review.
Multi-Sensor Correlation
Compare observations from different sensors and build candidate tracks. Show operators when radar, acoustic, and thermal sources agree or conflict.
Possible Classification
Present each track as a possible person, known vehicle, animal, environmental event, or threat, with time, sector rules, confidence, and recent activity for operator review.
Threshold-Based Alerting
Prioritize or suppress events using thresholds your team sets. Operators can inspect evidence, confidence, and suppressed-event logs before changing those thresholds.
ATAK Integration
Present candidate alerts as geo-located icons in configured ATAK clients, with bearing, range, possible classification, confidence, evidence, and a recommended next step.
Response Coordination
Notify designated personnel about high-priority alerts with route suggestions, possible threat type, confidence, and sensor evidence. Operators decide whether and how to respond.
Pattern Analysis
Build a site-specific activity baseline from the observations your team selects and flag deviations for review. You control whether operational data may be used to evaluate or improve a model.
Deployment Configuration
This use case deploys on a single DRAIDIS tier.
DRAIDIS BRAVO
Vehicle-mounted or fixed-site design that connects selected perimeter sensors and camera feeds to the local operator workflow.
Key Capabilities
Purpose-built AI capabilities for this mission set.
Multi-Sensor Correlation
Compare thermal, EO/IR, ground-radar, and acoustic observations to expand the operator's view and reveal sensor disagreements.
Alert-Quality Testing
Measure false alerts and missed detections on representative site data, then tune thresholds with operators.
Activity Baselines
Build a site activity baseline and flag possible changes in observation points, timing, or routes for review.
Operator Response Routing
Include a suggested approach route, possible threat classification, confidence, and sensor evidence with selected high-priority alerts.
Sustained Local Monitoring
Process selected feeds locally and track how lighting, weather, sensor health, occlusion, and data drift affect detection quality.
Sector-Based Rules
Set different sensitivity levels, personnel lists, and response procedures for each perimeter sector.
Performance Metrics
Test
False alerts and missed detections
Measure
Sensor-to-alert latency
Map
Site coverage and blind spots
Local
Continuous processing mode
Plan a Pilot for This Workflow
Review how DRAIDIS could support forward base security, then define the interfaces, data, hardware, controls, and operating conditions your team wants to test.