GHOSTs Detector

[ 1. Hero Section ]

Behavioral risk detection from motion — in just two seconds.

Not all threats come from code. GHOSTs Detector surfaces behavioral risk signals that traditional security systems miss — analyzing vestibular micro-motions and non-verbal kinetic patterns in real time. An IP-camera-based analytics platform that adds a psychophysiological layer to your security stack, without physical contact, wearables, or active user interaction.

  • Contactless: Uses existing surveillance cameras — no body-worn sensors or extra devices
  • Real-Time: Continuous analysis of stress- and arousal-related motion patterns
  • Science-Driven: Powered by the GHOSTs-graph Sensor and Vestibulo-Emotional Reflex (VER) research
GHOSTs Detector — product package
[ 2. What it is ]

Beyond firewalls and access logs

Firewalls see traffic. Access systems see credentials. GHOSTs Detector sees the human state in front of the camera. It analyzes subtle micro-movements and psychophysiological signals captured through standard video feeds to highlight:

It does this passively, without asking for any click, command, or active response. The body reacts before the mind decides — and GHOSTs Detector listens to that signal.

[ 3. Key Deployment Scenarios ]

Where GHOSTs Detector delivers the most value

For best performance, GHOSTs Detector is typically deployed where individuals naturally pass through or briefly remain within the camera’s field of view under stable conditions — entrances, gates, reception areas, security checkpoints, elevator halls, corridor bottlenecks, waiting areas, and interview / screening rooms. Placement (camera angle, subject distance, lighting, traffic flow) can be optimized per project.

From national critical infrastructure to high-traffic private-sector venues, GHOSTs Detector is built for the environments where early, objective awareness matters most:

Tier 1

Top-tier National Critical Infrastructure

Electric supply

Power plants

Public transportation

Railways, airports, harbour facilities

Data centers

Communications facilities

Military facilities

Bases, defense sites, training grounds

Courts

Courthouses, judicial & legal offices

Tier 2

National Critical Infrastructure

Police & fire facilities

Financial institutions

Banks, post offices, ATMs

Medical organizations

Hospitals, welfare, pharmaceutical companies

Factories

Food, pharmaceutical, petrochemical

Educational facilities

Conveyance

Delivery & logistics services

Private sector

Key Private-Sector Facilities

Stadiums

Sports, events, concerts

Department stores

Shopping malls

Theme parks

Amusement parks, parks, zoos

Amusement centers

Casinos, game arcades

Accommodations

Hotels, guest houses, dormitories

Security checkpoint deployment
Multi-camera monitoring wall
[ 4. Operating Modes ]

One platform, five operating modes

GHOSTs Detector adapts to each environment through selectable operating modes. Each mode tunes detection for subject distance, movement and crowd density — from single-person checkpoints to multi-person pedestrian flow. CHECK-POINT and SCHOOL are the latest additions.

CHECK-POINTNEW

Stationary · single subject

Single-person screening at building and parking-lot entrances and exits.

Capacity
1 person
Movement
Standing still
Distance
1–2 m
GATE

Stationary · low volume

Reception counters, flapper gates and baggage-screening lines.

Capacity
1 (up to 3)
Movement
Standing still
Distance
1–2 m
LANE

Stationary · slow walking

Reception counters, flapper gates and baggage-screening lines.

Capacity
Up to 3 people
Movement
Standing or slow walking
Distance
1–2 m
SCHOOLNEW

Walking · single row

Corridors and waiting areas roughly 5 m wide, with people passing in a single row.

Capacity
~3 abreast
Movement
Walking pace
Distance
5–7 m
FLOW

Walking · crowd

Wide walkways, outdoor areas and concourses with continuous pedestrian flow.

Capacity
Up to 10 people
Movement
Walking pace
Distance
5–10 m
[ 5. Operational Workflow ]

How GHOSTs Detector works in the field

GHOSTs Detector sits on top of existing camera infrastructure, adding a behavioral analytics layer without changing your physical setup.

GHOSTs-graph Sensor workflow: capture, real-time VER analysis, and risk flagging

Continuous monitoring & subject detection

Security cameras stream video into the system, which continuously detects individuals in real time as they pass through the field of view. For stable analysis, cameras are placed where subjects are captured from a suitable angle and distance for at least a short continuous interval.

Automatic tracking & colour-coded framing

Once a person is detected, the system overlays a colour-coded frame on each target:

Green frame — within normal psychophysiological range Red frame — anomalous pattern above a defined risk threshold

Anomaly / Risk Index calculation & alerting

The GHOSTs-graph Sensor combines multiple parameters (stress-related motion patterns, stability, variability) to calculate a Risk Index. When it exceeds a predefined threshold, the system can flag the subject on the operator dashboard in real time and, optionally, issue audible or visual alerts and disseminate notifications via dedicated applications or mass email.

Frame extraction, logging & handover

Images and short clips of individuals showing anomalous patterns are extracted from the live stream in real time and stored in a designated log repository with timestamps (optionally stamped with camera ID). This supports post-event review and integration with VMS / PSIM / SIEM platforms (project-specific configuration may be required).

Crowd scene with colour-coded detection frames — most subjects framed green within normal range, one flagged red above the risk threshold

Colour-coded framing in a live crowd — green stays within the normal range, red flags a subject above the risk threshold. Illustrative.

[ 6. Core Technology ]

The science behind GHOSTs Detector

Traditional security analytics focus on external indicators — facial expressions, objects, positions, or observable events. These remain essential, but can be circumvented through intentional behavioral control or operational blind spots, making early-stage risk signals difficult to capture before they visibly surface. GHOSTs Detector adds a fourth dimension: psychophysiological signals encoded in micro-motion.

It interprets

01

Capture

Ingests raw video streams from standard IP cameras.

02

Extract

Isolates pixel-level micro-vibrations while suppressing gross motion and environmental noise.

03

Analyze

Correlates vibration frequency and amplitude with states such as stress load, arousal, and conflict.

04

Visualize

Generates colour-aura GHOSTs-graphs with a configurable Risk Index on the monitoring UI.

High-speed real-time processing: depending on the operating mode, the system analyzes video at approximately 15–30 fps. Rather than a single frame, it evaluates a short time-series window of about 30–60 frames over roughly two seconds to improve signal stability and risk-estimation accuracy — near real-time, while preserving analytical robustness.

[ 7. Why it Matters & Responsible Use ]

See stress before escalation. See risk before incident.

GHOSTs Detector does not replace cameras, access control, or human judgment — it augments them with an additional stream of behavioral insight.

Why it matters

Responsible use

[ 8. Expanding Form Factors ]

Beyond fixed cameras — drones, vehicles and wearables

GHOSTs Detector is being developed to run not only on fixed cameras but on moving platforms. By mounting it on drones and vehicles — and on wearable devices worn by personnel on the move — everyday threats can be detected wherever they emerge.

Aerial

Drone-mounted

Patrol crowds, perimeters and wide outdoor areas from the air, surfacing behavioral risk where fixed cameras cannot reach.

Mobile

Vehicle-mounted

Bring contactless detection to patrol cars and mobile units, scanning environments on the move.

Wearable

Glasses-mounted

Worn by personnel on the move — scanning people in passing during foot patrols and field investigations, hands-free and contactless.

These new form factors are in active development.

[ 9. Conclusion & CTA ]

A new layer of security — where motion meets mind.

GHOSTs Detector brings behavioral risk analytics into the security control room — helping teams see what others miss, before situations escalate.

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