SitRep Tactical Decision Platform
Fused multi-source awareness for maritime security operations.
// EXECUTIVE_SUMMARY
SitRep fuses radar, electro-optic camera, AIS, and radio frequency sensor data into a single tactical picture. Operators get real-time vessel tracking with AI-assisted correlation, confidence scoring, full provenance chains, and explainable threat recommendations — replacing the cognitive overload of monitoring five separate sensor displays with one unified operational view.
TARGET_INDUSTRIES
// INTERACTIVE_DEMO
COORDINATE GRID
48.42°N 123.21°W
SUSPICIOUS VESSEL
06:14 · camera
Track Confidence
Provenance Chain
Bearing 215°, 14 kts, 25m vessel
Visual confirm: 25m, no markings, dark hull
No AIS broadcast detected
Available Resources
Event Feed
Radar contact detected — 48.42°N, 123.21°W
Camera tasked to bearing 215° — visual confirmed
RF scan: no AIS broadcast — dark target
Track fused — confidence 94%
// PROBLEM & SOLUTION
Problem Statement
Maritime security teams monitor radar, cameras, AIS, and RF detectors in separate, siloed interfaces. Operators must manually correlate tracks across systems, leading to delayed threat identification, high cognitive load, and missed correlations during high-tempo operations. When every minute matters, fragmented awareness is an operational risk.
Current Workflow
Multi-Display Monitoring
Operators watch 3–5 separate sensor displays simultaneously, mentally stitching together tracks by position, bearing, and time.
Manual Track Correlation
When a contact appears on multiple sensors, operators manually cross-reference by call sign, position, and timestamp — slow and error-prone.
Verbal Flagging
Suspicious contacts are flagged via radio or chat, with no persistent, searchable record of the assessment or its reasoning.
Dispatch Without Full Picture
Resource dispatch decisions are made without a unified view of available assets, coverage gaps, or contact confidence levels.
Manual Post-Incident Analysis
After-action review requires manually stitching together logs from each sensor system, often taking hours or days.
Proposed OddLabs Solution
Multi-Source Sensor Fusion
Radar, EO/IR camera, AIS, and RF detection data unified into a single track database with automatic cross-referencing.
AI-Assisted Track Correlation
Automatically fuses observations from multiple sources into unified vessel tracks with confidence scoring and source weighting.
Provenance Chain
Every track element traces back to its source sensor with timestamp, data quality indicators, and processing history.
Explainable AI Recommendations
Threat assessments include reasoning chains: "Vessel X flagged because: speed deviation + RF silence + no AIS broadcast."
Resource Awareness Layer
Available patrol assets, response times, and coverage gaps displayed alongside the operational picture.
Timeline Replay
Scrub through past operations for analysis, after-action review, and operator training.
// KEY_METRICS
Track Fusion Confidence
Target: >90%
Sensor Sources Fused
Radar, Camera, AIS, RF
Mean Time to Threat ID
Down from 12 min
False Positive Rate
Target: <10%
Activity Timeline
Contact at 48.42°N, 123.21°W, bearing 215°, speed 14 kts
EO/IR camera slewed to bearing 215° — visual confirmation: 25m vessel, no markings
No AIS broadcast detected from contact — potential dark target
Confidence 94% — 3 of 4 sources agree on position and heading
Suspicious vessel: no AIS, speed deviation, heading toward restricted zone
MV Guardian dispatched for visual intercept, ETA 18 minutes
Patrol confirms vessel identity, boarding authorized
AI Recommendations
ExplainableDeploy MV Guardian for Visual Intercept
HIGHVessel matches suspicious pattern: no AIS broadcast + speed deviation (14 kts in restricted corridor) + heading toward Zone A. Patrol asset MV Guardian available with 18-min ETA. Weather conditions favourable for intercept.
Notify Joint Operations Centre
HIGHContact has entered 12-nm notification zone per current Rules of Engagement. Automatic notification recommended.
Task Camera to Bearing 215° for Continuous Tracking
MEDIUMCamera available. Continuous tracking would improve fusion confidence from 94% to projected 98% and maintain visual during intercept approach.
AI recommendations are advisory. Final decisions remain with human operators.
EXPECTED_OUTCOMES
70% reduction in mean time to threat identification
Unified operational picture across all sensor sources
Explainable AI recommendations for operator decision support — not black-box automation
Full provenance chain for post-incident analysis and accountability
Reduced operator cognitive load through automated track correlation
Faster, better-informed resource dispatch decisions
// TYPICAL_FIRST_PILOT
A single operations centre with 3–4 sensor sources, one watch-keeping team, and a 30-day evaluation window to validate track fusion accuracy and operator workflow.
Estimated Timeline
30-day prototype → 12-week production build
Budget Range
$15,000 – $50,000 (prototype phase)
Technologies
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