Behavioral Intelligence for Proactive Security
Security-focused multimodal emotion and intent recognition for public spaces. 4 modalities, 10 security intents, 5 threat levels, deception detection, and zone-based monitoring.
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Comprehensive behavioral analysis through face, voice, text, and full-body movement signals.
Emotion detection, micro-expression analysis, and gaze tracking. Identifies stress indicators, concealed emotions, and deceptive expressions in real-time.
Speech emotion recognition with voice stress analysis. Detects aggression, nervousness, deception cues, and emotional arousal from acoustic features.
Real-time linguistic analysis of spoken content. Identifies threatening language, evasive patterns, inconsistencies, and emotional state from word choice.
Full-body pose estimation via MediaPipe 33 landmarks. Tracks gait, posture, gestures, pacing, and spatial behavior for behavioral profiling.
Orionus classifies observed behavior into 10 security-relevant intent categories.
| Intent | Description | Threat Association |
|---|---|---|
| Normal | Standard, expected behavior with no indicators of concern | None |
| Agitated | Visible signs of distress, anxiety, or emotional arousal | Low |
| Aggressive | Hostile body language, raised voice, confrontational stance | Elevated |
| Attack Intent | Clear indicators of imminent physical aggression or violence | Critical |
| Concealment | Deliberate hiding of objects, face, or identity | Elevated |
| Evasion | Active avoidance of cameras, personnel, or checkpoints | Elevated |
| Loitering | Prolonged presence without clear purpose in sensitive areas | Low |
| Panic | Flight response, extreme fear, or crowd panic indicators | High |
| Deceptive | Multi-channel deception signals across face, voice, and text | High |
| Erratic | Unpredictable, disoriented, or incoherent behavior | Elevated |
Graduated threat assessment for proportional security response.
Normal behavior, no intervention needed
Minor indicators, passive monitoring
Active monitoring, personnel alert
Immediate personnel dispatch
Emergency response activation
16+ rules across 5 categories govern the security inference engine.
Rules mapping facial anger, vocal aggression, hostile language, and aggressive posture to threat levels and security intents.
Rules detecting deliberate hiding behaviors, identity concealment, and evasive movement patterns in security zones.
Cross-modal conflict rules identifying mismatches between face, voice, and text signals that indicate deceptive behavior.
Rules for detecting mass panic, flight responses, and extreme fear indicators across all four modalities.
Rules that adjust sensitivity based on zone type and context — higher sensitivity in restricted areas, lower in public concourses.
5-channel deception analysis for comprehensive veracity assessment.
Fleeting facial expressions that reveal concealed emotions
Eye movement anomalies associated with deception
Vocal micro-tremors and pitch shifts under cognitive load
Hedging, distancing, and inconsistency in verbal content
Self-soothing, fidgeting, and postural shifts
10 zone types with context-specific sensitivity multipliers.
| Zone Type | Example | Sensitivity |
|---|---|---|
| Security Checkpoint | Airport gates, building entry | Very High |
| Restricted Area | Staff-only, server rooms | Very High |
| Boarding Area | Gate lounges, platforms | High |
| Baggage Claim | Carousel areas, pickup zones | Elevated |
| Transit Corridor | Hallways, tunnels, walkways | Elevated |
| Public Concourse | Main halls, food courts | Standard |
| Retail Zone | Shops, duty-free areas | Standard |
| Parking Area | Garages, drop-off zones | Elevated |
| VIP Lounge | Premium waiting areas | High |
| Exterior Perimeter | Building perimeter, fences | Elevated |
MediaPipe 33-landmark pose estimation powers 10 behavioral movement features.
Gait speed, direction changes, arm swing amplitude, postural sway, personal space violations, pacing frequency, hand-to-face contact, sudden movements, crouching/ducking, and spatial clustering.
Movement modality carries the highest weight in security context (35%), reflecting the importance of behavioral body language in threat detection. Face (25%), voice (20%), and text (20%) complete the fusion.
Intelligent alert management with 4 priority levels, cooldown, and escalation logic.
Informational, Warning, Urgent, and Critical alert levels. Each triggers different notification channels and response protocols.
Prevents alert fatigue with intelligent cooldown periods. Same-subject alerts are suppressed within configurable time windows.
Automatic escalation when threat indicators persist or intensify. Low-level alerts upgrade based on duration and pattern matching.
Full logging of all alerts, responses, and outcomes. Complete audit trail for compliance, review, and system optimization.
Security checkpoints, boarding areas, baggage claim, and terminal monitoring with zone-sensitive threat assessment.
Metro, rail, and bus terminal security with crowd monitoring, platform surveillance, and corridor analysis.
Stadiums, concert halls, and large events with crowd behavior analysis, entry screening, and perimeter monitoring.