AI for Transportation — ANPR, Traffic Flow & Crowds

Challenges

Five fronts where unsafe acts, unsafe conditions and poor practices slip past on a live network — highways, rail, metro, airports, ports, depots and parking — and why CCTV watched by people alone cannot keep up across them all.

A · Unsafe acts on the network

Platform edge A bare-headed worker without a hard hat among colleagues wearing helmets on a construction site

Crossing the platform gap

Distraction A worker in plain clothes without a hi-vis vest standing near a moving wheel loader

Distracted passenger at the platform

Fare evasion A worker at the unprotected edge of a high concrete slab without a fall-arrest harness

Tail-gating past the faregate

B · Unsafe conditions in stations & yards

Fire

Fire & smoke in a station

Egress

An emergency exit doorway blocked by stacked boxes and debris

Blocked emergency egress

Slip

An oil and water spill spreading across a concrete factory floor

Wet platform & slip hazard

C · Vehicles, plant & restricted zones

Proximity

A forklift operating close to a pedestrian worker inside a warehouse

Bus–pedestrian proximity at the kerb

Track & runway An open excavation trench with no barrier or fence around it

Vehicle on the track or runway

Lifting

A worker walking directly underneath a heavy load suspended from a tower crane

Crane lift over a passenger area

D · The monitoring gap

Coverage

A control room with one operator facing a large wall of many CCTV feeds

One operator, hundreds of feeds

Night

Night shifts & dark yards

Lone worker A single worker isolated in a remote corner of a large industrial site at dusk

Lone staff at remote stations

E · Flow, compliance & reporting

Congestion Outdoor workers under harsh midday desert sun with visible heat haze

Congestion at the gate & ramp

Reporting

A cluttered site safety office desk covered with paper incident forms and clipboards

Paper logs & after-the-fact reports

Compliance A crowded site entrance at shift start with many workers entering at once

PPE & permit checks at the depot gate

Solutions

Every gap above has an answer below: how the AI sees across your transport network, what it detects — from ANPR to platform-edge — how alerts become action on the network, the analytics you get, and a deployment that fits your existing cameras, your VMS and Saudi data rules.

A · How the AI sees on the network

Detection

Workers on a site each outlined by a translucent segmentation mask following their silhouette

Per-vehicle & per-person segmentation

Flow

A worker with a glowing skeletal pose-estimation overlay analysing their posture

Behaviour & flow analysis

PPE

A worker with the helmet and vest highlighted by separate segmentation masks for PPE detection

Per-worker PPE & hi-vis

B · What it detects across the network

A worker with helmet and vest highlighted by AI segmentation masks, unsafe-act detection

Wrong-way & intrusion

Flame and smoke highlighted by an AI segmentation mask, unsafe-condition detection

Hazards & abandoned objects

Outdoor workers under harsh midday sun with a heat-stress overlay, poor-practice and compliance monitoring

Crowd, flow & compliance

C · From alert to network action

Real-time

A site supervisor receiving a safety alert on a smartphone

Tiered alerts in seconds

Verified

Operators in a modern safety control room verifying alerts on a video wall

Operator-verified on the wall

Intervene

A public-address speaker on a pole at a site for live talk-down warnings

PA talk-down & field dispatch

D · See it & prove it

Dashboard

Live network operations dashboard

Analytics

A screen showing a site map with colour-coded risk heat zones

Crowd, queue & traffic trends

Reporting

A tablet showing KPI gauges and charts for a safety compliance report

Vision 2030 & PDPL reports

E · Fits your network

Integration An existing CCTV camera on a building with a small edge-AI box beside it

Works on existing CCTV & VMS

Edge

Edge, hybrid or cloud

Residency

A secure on-premises server rack keeping data inside the Kingdom

KSA data residency

AI Technology

Our solution is built on data-driven video analytics, computer vision that watches live feeds and understands what it sees. The same AI runs across any input you bring: your existing CCTV, ANPR cameras, road and tunnel gantries, drones over the apron or rail yards, and mobile cameras on rolling stock, all connected into one platform and one app, processed on-site inside the Kingdom. We keep the engine proprietary; what follows is how it works for you.

Any input, one platform

AI Video Analytics

The brain behind every source, computer vision analyses each frame in real time and flags ANPR hits, wrong-way vehicles, abandoned objects, platform-edge proximity, and crowd surges the moment they appear.

Existing fixed and PTZ CCTV cameras on an industrial building

Your Existing CCTV

Runs on the cameras you already have, fixed, PTZ and thermal, with no rip-and-replace in most sites.

A survey drone flying over a construction site

Drones & Aerial

Drones carry the same AI across large sites and hard-to-reach areas, from above.

An autonomous quadruped robot dog patrolling an industrial site

Autonomous Robot Dog

A four-legged robot patrols hazardous or remote zones on its own, taking the AI where fixed cameras cannot reach.

Smart Safety Helmet

Worker-worn helmets with an on-board camera add a first-person view and lone-worker protection to the same system.

On-Site Edge AI

All analysis runs on a secure unit at your site, so footage and data stay inside the Kingdom, in line with PDPL.

A unified safety app on a phone showing every connected camera and device

One Unified App, the whole network connected

Every CCTV, ANPR, road gantry, drone, robot and on-vehicle camera feeds a single platform and one app, one place to watch the network, verify alerts and act. Add a new device and it simply appears in the same view.

Integration with Your Systems

We adapt to your network, you don't rebuild for us. The AI runs on the cameras, ANPR units and monitoring systems you already have on the highway, rail and metro: a small on-site unit pulls the video, your cameras and VMS keep running untouched, and in most sites nothing is replaced.

Works with what you have

A mix of existing fixed and PTZ CCTV cameras on an industrial building

No rip-and-replace

In 70–80% of your cameras, road gantries and ANPR units are reused as they are. We connect over standard RTSP / ONVIF, compatible with virtually any IP camera.

A small edge-AI appliance plugged in beside an existing network switch

Plugs in alongside

A small on-site sidecar unit pulls every camera and ANPR stream at the depot, station or gantry. Your cameras and current VMS keep running exactly as they do today, no disruption to traffic flow.

A technician surveying a CCTV camera with a tablet before deployment

Survey before spend

A pre-deployment camera survey (included) checks each camera's resolution, angle, lighting and ANPR plate read distance, so you know exactly what qualifies before buying anything.

Connects to your monitoring systems

Milestone XProtect Genetec Security Center Hikvision / HikCentral Dahua DSS Axis Camera Station

We integrate with the leading VMS platforms used in the Kingdom, pushing events and alerts straight into the system your control room already uses. Not on the list? The edge unit also runs fully standalone over direct RTSP, no VMS required.

Camera requirements

Parameter	Minimum	Recommended
Resolution	2 MP (1080p)	4 MP or higher
Frame rate	10 fps	15–25 fps
Low light	IR / night capable	True WDR
Detail on target	head ≥ 20 px	≥ 40 px for PPE & plates
Compression	H.264	H.265 (½ the bandwidth)

Network & footprint

Light on bandwidth, a few Mbps per 1080p camera, gantry or ANPR feed; H.265 halves it.
Only alerts leave the edge, short event clips, plate reads and metadata, never full 24/7 video.
Processed on-site, a depot / station VPN or private APN covers remote yards; data stays in the Kingdom.
No new software for your team, the dashboard is browser-based; nothing to install.

Use Cases

The same AI runs across your transportation network — highways, metro, rail, airports, ports, depots and parking facilities. Every licence plate, vehicle, person, hazard and PPE gap is flagged on your existing camera and drone feeds with a pixel-precise segmentation mask, never a crude box.

ANPR & Traffic Flow

AI segmentation mask outlining a car licence plate at a toll gate — ANPR · Plate Read

AI segmentation mask classifying a vehicle by make, model and colour on a highway — Make, Model & Colour

AI segmentation mask flagging a stolen vehicle crossing a checkpoint — Stolen-Vehicle Match

AI segmentation masks counting cars lane by lane at a road gantry — Per-Lane Flow Count

AI segmentation mask highlighting a vehicle drifting between lanes on a motorway — Lane-Change & Drift

AI segmentation mask with motion vectors estimating vehicle speed on a highway — Speed Estimation

Wrong-Way & Track Intrusion

AI segmentation mask flagging a car driving the wrong way on a one-way ramp — Wrong-Way Vehicle

AI segmentation mask flagging a pedestrian walking against the flow on a one-way tunnel — Wrong-Way Pedestrian

AI segmentation mask outlining a person standing on a rail track in a metro depot — Track Intrusion

AI segmentation mask flagging a service vehicle crossing an active runway at night — Runway Incursion

AI segmentation mask flagging a car in a dedicated bus lane on a city road — Bus-Lane Violation

AI segmentation mask highlighting a pedestrian walking inside a road tunnel — Tunnel Pedestrian

Crowd Density & Congestion

AI segmentation masks with density heatmap on a crowd at a metro concourse — Station Density

AI segmentation masks flagging platform overcrowding ahead of a train arrival — Platform Overcrowding

AI segmentation masks measuring queue length at a security checkpoint — Queue Length

AI segmentation masks flagging slow-moving congested traffic on a motorway — Highway Congestion

AI segmentation masks highlighting a pedestrian bottleneck at a station gate — Bottleneck Detection

AI segmentation masks detecting a pilgrims surge at a Hajj transit terminal — Surge & Pilgrim Flow

Abandoned Object & Security Screening

AI segmentation mask flagging an abandoned suitcase on a station bench — Abandoned Luggage

AI segmentation mask outlining an unattended package at an airport gate — Unattended Package

AI segmentation mask flagging a long firearm outline in a security X-ray image — Long-Gun Detection

AI segmentation mask outlining a knife blade at a security checkpoint — Blade / Knife

AI segmentation mask flagging a person loitering near a platform edge — Suspicious Loitering

AI segmentation mask flagging a person climbing a perimeter fence at a depot — Fence Trespass

Platform-Edge & Fall Safety

AI segmentation mask highlighting a foot crossing the yellow platform-edge line — Platform-Edge Proximity

AI segmentation mask outlining a fallen passenger on a train platform — Fallen Passenger

AI segmentation mask highlighting a passenger tumbled on a station staircase — Staircase Fall

AI segmentation mask flagging a person fallen on a moving escalator — Escalator Fall

AI segmentation mask highlighting a wheelchair close to a platform edge — Wheelchair at Edge

AI segmentation mask flagging an unaccompanied child near a station platform — Unaccompanied Child

Worker PPE & Parking / Vehicle

AI segmentation mask flagging a rail worker without a hi-vis vest on the track — No Hi-Vis Vest

AI segmentation mask flagging a depot worker without a hard hat near a moving crane — No Hard Hat

AI segmentation mask highlighting a worker on the apron without safety boots — No Safety Boots

AI segmentation mask outlining a car parked in a no-parking fire lane at a terminal — Illegal Parking

AI segmentation mask flagging a vehicle in a pedestrian-only zone outside a station — Vehicle in Pedestrian Zone

AI segmentation mask flagging a car parked over a dropped kerb at an accessibility ramp — Blocked Accessibility

Not limited to these These are our standard library, we also train custom detection classes for the vehicles, hazards, stations and processes specific to your network.

How We Do It

01

Existing CCTV cameras on a pole overlooking an active construction site

Ingest

We pull live video from your existing CCTV, ANPR and road gantries over RTSP and ONVIF, no new cameras in most sites

02

A compact edge GPU appliance processing video on site

Edge AI

Inference runs on a small on-site GPU appliance at the depot, station or control room, so video and data stay inside the Kingdom

03

A monitor showing workers segmented by AI masks on a live site feed

Detect

A three-stage cascade segments vehicles, plates, people, PPE and hazards on every frame, across a broad transport-aware library

04

A control-room screen showing an AI reasoning check on a flagged event

Validate

A vision-language model reasons over context to confirm or suppress each alert, killing false alarms across the network

05

Alert

Tiered alerts reach the control room, station supervisors, security and WhatsApp within seconds

06

Confirm

For non-critical events an operator confirms with a clip and scene description before field teams are dispatched

07

Dashboard

Every camera, ANPR, gantry, zone and live alert appears on one dashboard, on a wall screen or a phone

08

An automatically generated safety report with charts and an audit trail

Report & audit

Shift and daily reports, KPIs and an immutable audit trail are generated automatically for Vision 2030 and PDPL

The Monitoring Platform

One console for the operations team. Overview, events, cameras, ANPR hits, gates, stations, reports and live AI inspection, all in a single app. Every alert traces back to the camera or gantry that raised it, the lane or platform it sits in, the moment it happened, and the confidence the AI gave it. Live today at viewkeepersa.com/VisualDefectDemo/hse.

HSE app overview: safety score, hazard breakdown, hottest zones and 3D zone map

Transport Monitoring · Overview

Live AI detection: ANPR, wrong-way, abandoned objects, weapons, crowd density, platform-edge falls, PPE gaps
your PTZ, fixed and thermal cameras plus ANPR and road gantries on one live wall
Per-camera, gantry and ANPR health and link status
Operator verify, dispatch, and false-alarm workflow, lane or platform aware
Owner-ready daily, monthly, and incident-evidence reports
Runs in the on-site control room, no foreign cloud

Platform Walkthrough — Page by Page

07 · A

Seven pages, live in our Transport app today. The images below come straight from the running build. These are the same screens your operations and security teams will open on day one.

viewkeepersa.com/VisualDefectDemo/hse

01 · Overview

The whole network, one screen

The transport landing page. A live network score, ANPR hit rate, open wrong-way events and critical incidents run across the top, next to cameras and gantries online and mean response time. Below sits a 24-hour detection breakdown, the hottest lanes and stations ranked, and a 3D zones map of the network.

Network ScoreDetection BreakdownHottest Lanes3D Network Map

viewkeepersa.com/VisualDefectDemo/hse/events

02 · Events

Every event, triaged

The working queue of transport events. Each one tagged by type, with the camera, gantry or ANPR unit that caught it, the lane or platform, a severity, a confidence score and a status. An officer verifies, assigns or closes, and the response clock keeps the team honest.

36+ Event TypesSeverity RoutingEvidence SnapshotResponse Clock

viewkeepersa.com/VisualDefectDemo/hse/cameras

03 · Cameras

The fleet & gantries, at a glance

Every connected camera, ANPR unit and road gantry by site, lane and station, with live thumbnails, online status and the detections it raised. A technician sees what needs attention before the morning round.

Live ThumbnailsPer-LaneOnline StatusLast Event

viewkeepersa.com/VisualDefectDemo/hse/workers

04 · Workers

Depot & trackside PPE, watched

Workforce safety built for the Kingdom: heat-stress risk levels, the summer midday-work ban window, hi-vis and hard-hat compliance per depot crew, and lone-worker flags, so the rules MHRSD audits are kept automatically.

Heat StressMidday BanCrew PPELone Worker

viewkeepersa.com/VisualDefectDemo/hse/zones

05 · Zones

Restricted zones, drawn and enforced

Transport zones drawn on the site plan and the 3D model: platform edges, bus lanes, crane radii over passenger areas, track and runway buffers. Each zone carries its own rules, and any intrusion shows up in Events with the zone attached.

Zone Rules3D ModelPlatform EdgesIntrusion Link

viewkeepersa.com/VisualDefectDemo/hse/reports

06 · Reports

Ready for the regulator

Shift and daily summaries, ANPR hit exports, congestion & crowd analytics, and incident evidence packs, generated automatically and exportable for Vision 2030 and PDPL reviews. One click, and the record is in your inbox.

Shift SummaryANPR ExportEvidence PackPDPL & Vision 2030

viewkeepersa.com/VisualDefectDemo/hse/inspect

07 · Inspect

Point the AI at any camera

A live AI scan page: drop in footage or pick a camera, gantry or ANPR feed, and the engine outlines vehicles, plates, people, PPE and hazards on the spot. The fastest way to see the detection quality on your own scenes.

Live ScanAny FootageInstant MasksYour Cameras