GLOBAL DELIVERY · LHR / SYD / RUH / KHI
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OmniRoad 2.0

AI traffic intelligence for safer roads and smarter cities.

Overview

AI traffic intelligence for safer roads and smarter cities.

OmniRoad 2.0 is an AI traffic system that connects to existing cameras, detects and classifies vehicles in real time, and flags accidents the moment they happen. It turns ordinary road footage into live situational awareness and actionable insight for traffic and safety teams.

OmniRoad 2.0 plugs into the cameras you already have and applies computer vision to every frame, recognising cars, trucks, buses and motorcycles as they move through the scene. It tracks how roads are actually used, identifies accidents in real time and assesses their severity, then pushes that intelligence to the people who need to act. The result is a single AI layer over your road network that improves both traffic flow and safety, without ripping out existing infrastructure.

Key capabilities
  • Real-time object detection and tracking that identifies and follows vehicles such as cars, buses, trucks and motorcycles as they move through each scene
  • Vehicle classification that separates traffic by type, so road usage can be analysed in detail rather than counted as one undifferentiated flow
  • Real-time accident detection that spots collisions the moment they occur and evaluates their severity
  • Immediate alerts, including instant sound notifications, that put relevant authorities on the incident without delay
  • Versatile camera integration that connects over multiple protocols and works with virtually any existing camera setup for fast deployment
  • Detailed road usage analytics that surface flow patterns, congestion and movement trends to guide better traffic decisions
  • Actionable data outputs designed to feed traffic management and emergency response, not just dashboards
  • Built to scale across single junctions, transport hubs and city-wide camera networks alike

Who it is for

OmniRoad 2.0 is built for traffic management authorities, road safety teams, smart city programmes and operators of transport hubs such as airports, bus stations and train stations, anyone responsible for keeping vehicles moving and responding fast when something goes wrong.

How it works

From setup to insight

01

Connect your cameras

OmniRoad 2.0 links to your existing cameras over multiple protocols, so there is no need to replace hardware. If you can stream the feed, the system can analyse it.

02

Detect and classify in real time

Computer vision runs on every frame, detecting and tracking vehicles and classifying them by type, cars, trucks, buses and motorcycles, to build an accurate picture of how each road is being used.

03

Spot accidents and assess severity

The system continuously watches for collisions, identifies accidents as they happen and evaluates how serious each one is, turning raw footage into a clear incident signal.

04

Alert and act

When an incident is detected, OmniRoad 2.0 issues immediate alerts, including instant sound notifications, so the relevant authorities and emergency services can respond without losing time.

05

Analyse and improve

Vehicle and incident data feeds into detailed road usage analysis, giving teams the insight to ease congestion, improve flow and make roads measurably safer over time.

FAQ

Common questions

Do we need to install new cameras to use OmniRoad 2.0?

No. OmniRoad 2.0 is designed to integrate with virtually any existing camera setup and connects over multiple protocols, so in most cases you can deploy it on the infrastructure you already have.

What can OmniRoad 2.0 detect?

It detects and tracks vehicles in real time, classifies them by type such as cars, trucks, buses and motorcycles, and identifies accidents as they happen while assessing their severity.

What happens when an accident is detected?

The system raises immediate alerts, including instant sound notifications, so the relevant authorities and emergency services are informed straight away and can respond faster.

Want to see OmniRoad 2.0 in action?

See it run on a sample of your own footage or data. No obligation.

Let's Talk