Add a tender-ready AI layer to large CCTV, ELV and smart facility projects.
Omnivue helps system integrators convert existing camera and site infrastructure into AI workflows for access, attendance, ANPR, parking, HSE, facility operations and evidence-backed reporting.
Tender-ready
AI workflow narratives
Edge-first
On-premise deployment fit
Expandable
Modules, zones and sites
Large CCTV projects
AI layer over existing camera scope
Command centers
Events, evidence and dashboards
Smart facilities
Access, parking, safety and operations
Multi-site rollouts
Repeatable modules across locations
SI motion
Tender requirement → camera zones → Omnivue modules → deployable AI workflow
CCTV
AI over selected views
Edge AI
Local processing
Integration
Gates, APIs, dashboards
Reports
Evidence and audit trails
Command centers
AI workflow layer
Smart campuses
AI workflow layer
Industrial sites
AI workflow layer
Multi-site rollouts
AI workflow layer
You handle large deployments
CCTV, ELV, command center, smart building, smart city, industrial, campus and multi-site infrastructure projects.
You need tender-ready AI stories
Position AI around measurable operational workflows instead of generic analytics or vague video intelligence.
You want a modular AI layer
Add Omnivue modules to selected camera views, gates, lanes, zones, counters, bays and operational workflows.
You need practical deployment support
Edge/on-prem architecture, camera-readiness guidance, pilot scoping, integration planning and expansion support.
SI architecture
Position Omnivue as the AI workflow layer over the infrastructure you already deploy.
Omnivue does not need to replace the full VMS or ELV stack. It sits as an operational AI layer over selected cameras and site systems to create alerts, evidence, dashboards, reports and integrations.
Existing CCTV and IP cameras
Use selected camera views for specific workflows instead of replacing the full surveillance layer.
Edge AI processing
Run AI near the site where latency, privacy, bandwidth or offline-first requirements matter.
Physical access systems
Connect workflows to gates, barriers, turnstiles, access points, printers or operator approvals.
Dashboards and reports
Convert detections into reviewable operational events, evidence snapshots, alerts and reports.
Tender-ready use cases
Convert AI requirements into clear modules and workflows.
System integrators can lead with one or more defined operational outcomes instead of promising generic AI analytics across every camera.
AI Access Management
Face, QR, visitor, contractor, gate, barrier and turnstile workflows for secure facilities.
AI Attendance Management
Touchless attendance and presence visibility using controlled camera zones and entry workflows.
ANPR & Vehicle Intelligence
Vehicle identification, entry-exit records, watchlist/allowlist checks and vehicle movement evidence.
Parking Automation
Entry, exit, pass-holder, tariff, receipt, payment-status and barrier workflows for parking sites.
HSE & Safety Monitoring
PPE, forklift movement, restricted zones, emergency exits, obstruction alerts and audit records.
Facility Operations AI
Lobby, visitor flow, guard presence, elevator areas, access events, alerts and operational reports.
SI project motion
Move from AI requirement to deployable workflow architecture.
A strong SI motion defines the operational use case, camera zones, module stack, edge architecture and measurable validation plan before the deployment is scaled.
Identify tender or account requirement
Start with the client’s required AI outcomes: access control, parking, safety, attendance, ANPR or facility visibility.
Map use cases to camera zones
Define which cameras, gates, lanes, counters, bays, lobbies, entries and restricted zones need intelligence.
Select Omnivue module stack
Combine Sentinel, Presence, PlateVision, ParkGuard, OperatorAssist, SafeGuard, BayFlow and other modules as needed.
Design edge and integration architecture
Plan local processing, server sizing, network flow, alerts, dashboards, reports and device integrations.
Pilot, validate and scale
Prove a narrow workflow first, then expand across more cameras, zones, locations and departments.
Best sales motion
Avoid broad AI demos. Start with one measurable workflow, validate it properly and then expand across more cameras, modules and sites.
Omnivue module stack
Combine modules around tender scope and site workflows.
SI-led deployments can start with one module and expand into additional operational workflows across the same account.
Sentinel
Access management, visitors, contractors, QR, face and gates.
Presence
Touchless attendance and presence workflows.
PlateVision
ANPR, vehicle identification and movement records.
ParkGuard
Parking automation, no-parking and active vehicle records.
OperatorAssist
Safety, HSE, staff post visibility and operational compliance.
SafeGuard
Emergency routes, restricted zones and safety exception alerts.
BayFlow
Service bays, loading bays, turnaround time and bay occupancy.
Retail Intelligence
Customer flow, queues, dwell time and retail operations reports.
Omnivue support for SIs
Support for proposals, architecture and deployment planning.
AI use-case mapping for tender and proposal requirements
Module selection and solution narrative support
Camera placement and site-readiness guidance
Edge/on-prem deployment architecture support
Pilot scope and measurable success criteria
Integration planning for barriers, turnstiles, printers and APIs
Demo flow and customer-facing collateral support
Expansion roadmap across modules, zones and sites
SI partner outcomes
Why system integrators add Omnivue to their portfolio.
Differentiate tenders and proposals with a stronger AI workflow layer
Add software license and support revenue to infrastructure projects
Avoid building a full AI vision platform from scratch
Offer edge-first and on-premise options where enterprise clients require them
Expand from one use case into multiple modules across the same account
Create repeatable industry-specific offerings for large customers
Have CCTV, ELV or command center opportunities? Let’s add the AI layer.
Share your tender scope, camera count, site type, required AI use cases and deployment constraints. We’ll help map the right Omnivue module stack and architecture.