Purpose-Built Solutions
Intelligence for complex physical environments.
Five specialised solutions built on one unified VogicAI Physical AI platform — sharing the same deployment models, security controls and integration surface.
Identity Intelligence
ASTRA
Facial recognition built for unconstrained real-world environments
ASTRA enables organisations to identify, verify, search and track individuals across live and recorded camera networks — even when faces are distant, partially visible, poorly illuminated or captured from difficult angles.
Live Recognition · Retrospective Search · Watchlist Alerts
What sets ASTRA apart
ASTRA is engineered for conditions in which conventional facial-recognition systems struggle: small faces, difficult angles, partial visibility, poor illumination, eyewear and ageing reference images.
40 px
Minimum face size
Recognises faces from approximately 40 pixels ear-to-ear under validated conditions.
Wide
Pose tolerance
Designed to recognise individuals from challenging side angles and non-frontal views.
45°
Elevation angle
Supports real-world camera placements where subjects appear above or below the optical axis.
50%
Facial visibility
Designed to support recognition when parts of the face are obscured or outside the frame.
Eyewear
Dark and mirrored lenses
Designed to maintain recognition capability when the eye region is partially obscured.
Low light
Difficult illumination
Optimised for environments with limited, uneven or challenging illumination.
Live
Watchlist matching
Generates alerts by matching live faces against configured identity watchlists.
30 yrs
Reference image gap
Designed to match individuals against significantly older reference photographs.
Designed beyond conventional facial-recognition limitations
| Capability | ASTRA | Conventional Systems |
|---|---|---|
| Minimum face size | From approximately 40 pixels ear-to-ear | Commonly 50 pixels or higher |
| Side-angle performance | Designed for wide and difficult side profiles | Performance commonly reduces beyond moderate angles |
| Elevation-angle tolerance | Up to approximately 45° | Commonly up to approximately 30° |
| Face visibility required | From approximately 50% | Commonly approximately 70% |
| Dark or mirrored sunglasses | Recognition supported under validated conditions | Recognition performance may reduce |
| Low-light conditions | Designed for challenging illumination | Often dependent on strong lighting or specialised cameras |
| Reference-image age gap | Tested for image-age gaps of up to 30 years | Commonly tested for shorter image-age gaps |
Use cases
- Access and attendance management
- Person-of-interest identification
- Lost-and-found applications
- Watchlist alerts
- Visitor management
- Cross-camera person search
- Identity movement trails
- Retrospective investigation
Platform capabilities
- Live facial recognition
- Large watchlist support
- Real-time configurable alerts
- Retrospective person search
- Multi-camera tracking
- GIS-linked movement trails
- Role-based access and audit logs
- Edge and on-premise deployment
- Air-gapped deployment support
- API and command-centre integration
Target customers
- Defense establishments
- Government organisations
- Police and homeland security
- Airports and transport hubs
- Critical infrastructure
- Large campuses
- Smart cities
- Event and public-space operators
Performance may vary depending on camera resolution, lens, subject distance, illumination, face orientation, image quality and deployment conditions. Detailed benchmark reports may be shared during technical evaluation.
Attendance Intelligence
FRAMS
Attendance transformed into operational intelligence
FRAMS uses AI-powered facial recognition on existing or purpose-built cameras to make attendance ambient. People simply enter the workplace, institution, factory or campus — the system recognises them, records the event and maintains a continuously updated understanding of who is present, where and since when.
Ambient Attendance · Entry and Exit · Presence Intelligence
The end of the attendance ritual
RFID and terminal-based biometric systems require every person to perform an action — swipe a card, touch a sensor, stand before a reader. FRAMS makes attendance ambient: it goes from something people do to something the infrastructure understands.
No queues at shift changes
There is no terminal to line up for. People walk in and the attendance event is created as they enter.
No cards, tokens or PINs
Nothing to issue, carry, forget, share or replace. The face is the credential.
No buddy punching
Attendance cannot be marked on someone else's behalf — recognition is tied to the person actually present.
No repeated biometric interactions
No fingerprints to touch and no sensors to stand before, at every entry, every day.
Automatic hours calculation
Entry and exit events roll up into working hours and shift compliance without manual reconciliation.
Real-time availability
A continuously updated picture of who is on site right now — not a register compiled after the fact.
Identity becomes part of the physical environment
A traditional attendance system knows who checked in. FRAMS understands who is actually present — so the same identity layer supports attendance, access, authorisation, alerts and investigation. Attendance becomes the foundation of an identity operating system for the physical enterprise.
1,842
Employees present
Live headcount of employees currently inside the facility.
37
Contractors on site
Third-party personnel currently present, each with entry time and location.
4
Authorisation alerts
People detected in areas outside their authorisation, flagged as they entered.
Alert
De-registered person
A terminated employee detected at a facility — surfaced the moment they appeared.
Repeat
Unknown individual
An unrecognised person repeatedly observed near restricted locations.
18:42
Last observed
A specific employee's most recent observation — Gate 3, with a full movement trail behind it.
Illustrative presence picture. Figures show the kind of questions a single identity layer can answer — they are not data from any customer deployment.
Legacy systems record transactions. FRAMS understands presence.
| Capability | FRAMS | RFID and Biometric Terminals |
|---|---|---|
| Action required from people | None — recognition happens as people walk in | Card swipe, fingerprint or terminal interaction |
| Question answered | Who is present, where, since when, and with what authorisation | Did someone punch in? |
| Shift-change throughput | No terminal bottleneck — entrances flow at walking pace | Queues form at readers during peak entry |
| Proxy attendance | Not possible — attendance is tied to the person recognised | Shared cards and PINs enable buddy punching |
| Coverage | Existing or purpose-built cameras become attendance points | Fixed terminals at designated doors only |
| Beyond attendance | Access, authorisation, alerts and investigation on one identity layer | Attendance transactions only |
Use cases
- Employee attendance
- Student attendance
- Contractor and visitor presence
- Working-hours and shift calculation
- Multi-site workforce visibility
- Restricted-area authorisation
- Muster and evacuation accounting
- Last-known-location lookup
Platform capabilities
- Camera-based facial-recognition attendance
- Automatic entry and exit events
- Working-hours and shift reports
- Real-time presence dashboards
- Zone and authorisation rules
- De-registered-person alerts
- Unknown-person detection
- HRMS and payroll integration
- Role-based access and audit logs
- Edge and on-premise deployment
Target customers
- Enterprises and corporate campuses
- Factories and industrial plants
- Schools and universities
- Government offices
- Defense establishments
- Hospitals
- Construction sites
- Multi-site organisations
Recognition performance depends on camera placement, resolution, illumination and deployment conditions. FRAMS deployments are configured to each organisation's attendance, privacy and data-retention policies.
Urban Intelligence
CIVIC DRISHTI
Mobile visual intelligence for cities and highways
CIVIC DRISHTI uses cameras mounted on municipal, patrol or survey vehicles to identify, geo-tag and track civic and infrastructure issues at scale — turning routine journeys into a continuous city-wide survey.
Vehicle-Mounted Capture · Geo-Tagged Evidence · Resolution Workflows
From routine journey to verified resolution
CIVIC DRISHTI is a closed loop. Detection alone does not clean a street — the last two steps are what make the system operationally useful to an urban local body.
01
Capture
Municipal, patrol or survey vehicles collect visual data during regular operations.
02
Analyse
AI models identify civic issues and infrastructure defects.
03
Geo-Tag
Every issue is linked to precise location and time information.
04
Assign
Cases are routed to the relevant department or field team.
05
Resolve
Authorities track action, evidence and resolution status.
06
Verify
Repeat surveys confirm whether issues have been resolved.
Detected issues
- Garbage and waste detection
- Overflowing dustbins
- Waterlogging
- Open manholes
- Encroachment
- Footpath obstruction
- Damaged civic assets
- Stray cattle
- Construction and demolition waste
- Road-condition monitoring
- Illegal dumping
- Public asset damage
Platform capabilities
- Vehicle-mounted multi-camera capture
- Automated civic-issue classification
- Precise geo-tagging and time stamping
- GIS dashboards and heat maps
- Department-wise case assignment
- Field-team mobile application
- Resolution and SLA tracking
- Repeat-survey verification
- Ward and zone-level reporting
- API integration with municipal systems
Target customers
- Nagar Nigams
- Smart Cities
- Development authorities
- NHAI
- Highway operators
- Industrial townships
- Municipal corporations
- Urban development departments
Defense and Aerial Intelligence
GRASP
AI-powered drone intelligence for strategic operations
GRASP converts EO, thermal and drone feeds into real-time operational intelligence for surveillance, target tracking, mission monitoring and infrastructure inspection.
EO and Thermal · Moving-Target Tracking · Mission Replay
Use cases
- Intelligence, surveillance and reconnaissance
- Perimeter and border monitoring
- Moving-target detection
- Patrol-route monitoring
- Geofencing
- Mission replay
- Terrain monitoring
- Asset and infrastructure inspection
- Change detection
- Search-and-rescue support
Key capabilities
- EO and thermal-feed analysis
- Human and vehicle detection
- Moving-target tracking
- Map-based intelligence
- Mission recording and replay
- Real-time command-centre alerts
- Drone and fixed-camera integration
- On-premise deployment
- Geospatial event mapping
- Multi-sensor fusion
Target customers
- Armed forces
- Paramilitary organisations
- Homeland-security agencies
- Critical-infrastructure operators
- Power and utility companies
- Border-security organisations
- Disaster-response agencies
Crowd Intelligence
ANKUSH
Crowd intelligence for safer public spaces
ANKUSH helps authorities understand crowd density, movement, congestion and emerging pressure points through real-time multi-camera analysis — before a situation becomes an incident.
Density · Flow · Pressure Points
Use cases
- Crowd-density monitoring
- Crowd-flow analysis
- Pressure-point identification
- Queue monitoring
- Reverse-flow detection
- Congestion alerts
- Event monitoring
- Pilgrimage and festival management
- Entry and exit monitoring
- Public-space utilisation
Key capabilities
- Real-time crowd density
- Movement direction
- Flow velocity
- Congestion build-up
- Threshold-based alerts
- GIS command-centre integration
- Historical crowd analytics
- Multi-camera monitoring
- Zone-level risk indicators
- Crowd trend analysis
Target customers
- Smart Cities
- Police departments
- Religious destinations
- Event organisers
- Transport hubs
- Stadiums
- Public venues
- Urban administrations
Unified Platform
One platform. Multiple mission-critical applications.
Whichever solution an organisation starts with, the same platform guarantees apply — and adding the next one does not mean procuring a second system.
Start with one solution. Grow into the platform.
Tell us which environment you need to cover first and we will scope a focused evaluation.