001 -- TOPOGRAPHY AND LINE-OF-SIGHT ANALYSIS
Optimize surveillance coverage and identify blind spots across complex terrains.
Line-of-Sight (LOS) Analysis
Identify optimal surveillance posts and detect blind zones.
3D Terrain Models
Generate high-accuracy DEMs (Digital Elevation Models) for realistic border terrain planning.
Contour & Slope Mapping
Simplify patrol route planning and resource deployment across challenging landscapes.
002 -- LOCALIZED AI MODEL CUSTOMIZATION
Tailor AI models to regional challenges and intelligence requirements without in-house data science expertise.
Region-Specific Training
Incorporate local ground truth data for higher detection accuracy.
Human-in-the-Loop Learning
Field teams or analysts validate AI results, feeding back to constantly refine models.
003 -- AI-POWERED CHANGE DETECTION
Automatically spot changes and anomalies along border zones using multi-temporal analysis—ranging from open-source to high-resolution satellite data.
Classify & Prioritize Changes
Identify unauthorized construction, smuggling routes, and troop movements; rank them by severity
Automated Ingestion
Continuously pull open-source imagery (Sentinel, Landsat, etc.) to refresh basemaps for broad-area sweeps.
Targeted Tasking for High-Res Data
Tip-and-cue mechanism triggers one-click high-resolution or drone requests where anomalies are detected, reducing unnecessary data acquisition costs..
Near-Real-Time Alerts
Get notifications for perimeter breaches or suspicious activity flagged by AI.
004 -- MULTI-SOURCE DATA FUSION FOR ENHANCED MONITORING CADENCE
Combine insights from open-source satellite, commercial high-resolution imagery, UAV feeds, and ground sensors to maintain an up-to-date view of border zones.
Tip-and-Cue Mechanism
Conduct wide scans with open-source, then cue high-resolution resources for deeper investigation.
Flexible Data Streams
Seamlessly integrate IMINT, SIGINT, and sensor data into a single operational interface.
Historical Insights & Trend Analysis
Overlay past observations to spot patterns and improve threat prediction.
Automated Workflows
Schedule data ingestion at intervals, balancing cost-effectiveness with high-frequency updates.
005 -- FIELD INTEGRATION WITH AETOS GO
Extend capabilities beyond the command center to ground operations.
Task & Validate
Deploy field teams to investigate anomalies flagged by AI for real-world confirmation.
Rapid Reporting
Submit on-the-ground observations and photos in near-real time to refine AI feedback loops.
Centralized Intelligence Refinement
Sync field data with your command center for automated model updates, enhancing future detections.
