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Thousands of cameras. Nobody with time to watch them.

Highways and toll plazas already record everything that moves. The footage sits unwatched, revenue leaks at the booth, and incidents are found when someone calls them in. We build the layer that turns that footage into decisions.

AI computer vision traffic monitoring on an Indian highway toll plaza
Where the sector actually loses money

Infrastructure records everything and sees nothing

Highways and toll plazas have traditionally run on manual monitoring and disconnected hardware. Cameras record, radar counts, barriers lift, and none of it talks to anything else. The consequences are structural rather than occasional.

Revenue leaks at the toll booth because vehicles get classified by eye and charged in the wrong category. Incident response is slow because a stopped vehicle on a live carriageway is noticed when a driver phones it in, not when it stops. And infrastructure planning runs on sample surveys because no operator has structured data on what actually uses their road.

The gap is not hardware. Operators already own the cameras and the radar. What is missing is a single intelligent layer that can see, classify and act on everything moving through the network.

In one line

Algorizz builds AI computer vision systems for road infrastructure: automated traffic surveillance, tolling intelligence and incident detection running live on operational highways, not in pilots.

Running on cameras and radar you already own

The engineering behind road intelligence

01

Number plate recognition

Automated plate reading and speed capture across lanes and light conditions, feeding tolling and enforcement without a human in the loop.

ANPRSpeed captureEnforcement
02

Radar-based vehicle classification

Every vehicle classified by type so it is tolled in the correct category. This is where leakage stops being a rounding error.

AVCToll categoriesRevenue assurance
03

Video incident detection

Stopped vehicles, congestion build-up and safety hazards detected as they happen, pushed to the control room rather than discovered later.

VIDSStopped vehicleCongestion
04

Operations dashboards

One live picture for toll operations and highway control rooms, plus structured movement data that feeds planning instead of guesswork.

Control roomToll opsPlanning data
Shipped and running, not pilots

What we have built in road infrastructure

Highway traffic monitoring AI computer vision system with number plate recognition
Client build

Highway traffic monitoring system

Algorizz built an AI computer vision traffic monitoring system for highways and toll plazas, achieving 95 to 99% detection accuracy in live deployment.

95-99%Accuracy across AI functions
3-in-1ANPR, AVC and incident detection
ProductionOn operational roads, not a lab demo
ANPRAVCVIDSComputer visionToll automation
11 minute read · Algorizz engineering leadership
Highways, Roads & Metro

Frequently asked questions

95 to 99% across its AI functions, measured in live deployment on operational highways rather than in test conditions.

Same engine, different floor

Other industries we work in

Tell us which stretch of road you cannot see.

We start with a sector diagnostic: two days with your operators, mapping the data you already generate.

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