Omnivue
Vehicle Intelligence Module

AI-powered vehicle intelligence with ANPR.

PlateVision helps organizations identify vehicles, read number plates, track entry and exit movement, raise vehicle alerts and maintain audit-ready movement history.

Number plate recognition
Vehicle entry and exit logs
Watchlist and allowlist checks
Searchable vehicle history

Deployment note

Built for gates, roads, parking areas, warehouses, residential communities and controlled vehicle movement points.

Vehicle logging and ANPR event capture

Plate

Read

Vehicle

Matched

Event

Logged

What PlateVision manages

More than number plate reading. A complete vehicle movement workflow.

PlateVision connects cameras, vehicle records, access rules, movement history, alerts and reports into one operational view.

Vehicle Identification

Recognize vehicle number plates and convert movement into structured entry, exit and presence events.

Camera-based ANPR

Use suitable camera feeds at gates, lanes, yards, parking areas and vehicle movement points.

Authorized Vehicle Access

Support vehicle allowlists, watchlists, known vehicle records and rule-based movement decisions.

Entry / Exit History

Maintain searchable vehicle movement history with timestamps, locations, direction and evidence snapshots.

Vehicle Alerts

Raise alerts for unknown vehicles, blocked lanes, mismatched plates, watchlist hits and unusual movement.

Reports & Audit Trail

Generate reports for vehicle movement, access activity, exceptions, occupancy and operational review.

Live vehicle overview

Know which vehicles entered, exited, stayed or need review.

PlateVision gives teams live visibility into vehicle movement, entry and exit lanes, recent detections, alerts, watchlist matches and vehicle records.

Live ANPR event stream

Entry and exit lane activity

Known, unknown and watchlist vehicles

Search by plate, time or camera

Evidence-backed vehicle history

PlateVision live vehicle overview dashboard

Vehicle decisions

Connect plate recognition with gates, parking and vehicle rules.

PlateVision can support vehicle decisions using plate recognition, configured vehicle records, access rules, allowlists, watchlists and manual review workflows.

ANPR lanesBoom barriersVehicle recordsWatchlistsParking workflows
01

Capture

Camera captures the vehicle, plate region and movement direction at the configured point.

02

Read

PlateVision detects the plate, reads the number and links it with the vehicle event.

03

Match

The system checks rules, vehicle records, watchlists, allowlists or parking workflows.

04

Record

Vehicle event, snapshot, time, location and status are stored for review and reporting.

PlateVision ANPR integration options
PlateVision vehicle alerts and evidence snapshots

Vehicle alerts

Turn vehicle exceptions into evidence-backed alerts.

PlateVision helps teams identify vehicle exceptions, watchlist hits, unusual movement and review cases with snapshots, timestamps, camera context and vehicle records.

Unknown vehicle detected

Watchlist vehicle match

Plate read confidence low

Entry without matching exit

Exit without matching entry

Blocked lane or queue build-up

Repeated vehicle movement

Manual review required

Operational efficiency

Manage vehicle logs, alerts, watchlists and reports from one place.

Beyond plate reading, PlateVision supports daily vehicle operations: recent events, unknown vehicles, known vehicles, watchlist records, lane performance, live camera views and reports.

Vehicle visibility

Know which vehicles entered, exited, stayed longer than expected or need review.

Faster investigation

Search by plate number, time, direction, camera, location or vehicle status.

Better access control

Support authorized vehicle access, watchlist monitoring and exception handling.

Audit-ready movement history

Every vehicle event can be stored with timestamp, image evidence and location context.

PlateVision operations dashboard

How PlateVision works

From vehicle capture to plate read and movement record.

PlateVision converts camera feeds into structured vehicle events, access decisions, alerts and searchable movement history.

Step 01

Capture

Camera captures vehicle movement and plate region.

Step 02

AI Analysis

On-prem edge AI analyzes the vehicle event.

Step 03

Read

Plate number is detected and read from the image.

Step 04

Alert

Exceptions and watchlist matches are flagged.

Step 05

Record

Movement history is stored for review and reporting.

Architecture

Edge AI vehicle intelligence with simple deployment.

PlateVision is designed for dependable vehicle movement operations with edge processing, local workflows and optional integrations with gates, dashboards and reporting systems.

Omnivue architecture diagram

Input Layer

IP camerasANPR lanesGate camerasParking cameras

Edge Layer

On-prem AI processingPlate detectionOCR readingEvent processing

Platform Layer

Vehicle recordsMovement historyRulesReports & alerts

Application Layer

Web dashboardLive vehicle logsSearchOptional integrations

Outcome

Vehicle visibilityFaster reviewOperational controlAudit history
Different environments where PlateVision can be used

Built for vehicle movement environments

Vehicle intelligence for gates, lanes, parking and yards.

PlateVision can be adapted for organizations that need stronger visibility into vehicle movement, entry points, parking activity and vehicle access records.

Commercial buildings
Residential communities
Factories & warehouses
Parking facilities
Logistics yards
Corporate campuses
Government premises
Roadside checkpoints

Omnivue PlateVision

Want to see how PlateVision fits your vehicle workflow?

Share your gates, camera availability, vehicle movement points, parking process and deployment preference. Our team will suggest the right PlateVision setup.

What we’ll review

Entry and exit lanes
Existing camera coverage
Vehicle access rules
Parking or gate workflow
Offline or on-prem deployment needs

You do not need a finalized technical scope. A short discussion around your vehicle movement points and current infrastructure is enough to recommend the right starting setup.