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Surveillance that answers questions.

Concrete uses of AI video analytics: who uses it, in what situations, and what they get out of it.

Courtyard digital twin seen from the real camera: 159 recorded person passes replayed at once
Case study

Case study: what one camera told us about how people use a courtyard

One camera, no site plans, three days of footage. How we measured a courtyard, rebuilt it as a digital twin and replayed 159 real walks.

ReadFuel station at night in infrared: steam rising above the canopy
Data for fire detection

Steam is not smoke. Most fire models disagree at 2 a.m.

Steam, fog and dust trigger false smoke alarms on CCTV. Why fire models miss them and how to measure false alarms per camera per day.

ReadElectrical room in infrared: thin smoke rising from a distribution board
Data for fire detection

The first 30 seconds of a fire are the ones nobody labels

Most fire datasets start when flames appear. Labelling the onset frame and first flame shows how early your model really raises the alarm.

ReadRecycling yard by day: smoke rising from a pile of sorted waste
Data for fire detection

What synthetic fire data can and cannot do. We checked the evidence

Synthetic data can lift fire and smoke detection when mixed with real footage. It cannot replace it or prove a false alarm rate. The evidence.

ReadResidential parking lot at night from a camera: a person crouching by a car marked with a box
Why we're building this

The case was dropped because no one had time to watch the footage

A stolen catalytic converter, several days of footage and six hours of night to review. The story that started Xentim, and what search in footage changes.

ReadPlant yard at night: a person in the zone by the fence and a delivery van at the loading bay marked with boxes
Industry and logistics

Night shift, two people, forty cameras

How a plant security manager uses AI video analytics: an alert when someone is at the fence after hours, finding an event in one sentence, and shorter truck dwell time at the bays.

ReadBin shelter on a housing estate: a delivery van and a person carrying out an armchair marked with boxes
Residential property

A sofa bed by the bins and four days of footage

How a property manager uses AI video analytics: who dumped the bulky waste, whether the garbage truck really came, who blocked the fire lane and who scratched a car.

ReadForest entrance: a delivery van and a person unloading bags of rubble marked with boxes
Municipalities and waste

The trail camera took the photo. Who will look at it?

Illegal dumping, hazardous waste and disputed pickups: how municipalities and waste utilities can use AI video analytics to find the culprit without manually reviewing footage.

ReadRailway crossing with lowered barriers: a car stopped in the track zone marked with a box
Rail and infrastructure

A car stalls on the tracks. The signaller knows within seconds

How railways and infrastructure managers can use AI video analytics: a vehicle stopped at a crossing, a person in the track zone, sidings after hours and a fast replay of an event.

ReadWaste sorting plant yard at night: a column of smoke above a bay marked with a box
Warehouses, sorting plants, halls

You can see the smoke before the detector under the roof senses it

Early smoke warning from camera images: where it makes sense, what deployments in California and at waste processing plants showed, and why it does not replace a fire alarm system.

ReadAirport security screening hall: a marked queue zone with a people counter
Airports and terminals

The security queue builds at 5:40, and only two lanes are open

AI video analytics at the airport: congestion at security and check-in, the terminal kerbside, the apron and restricted zones.

ReadParking lot from a high camera: a counter of occupied and free spaces
Parking and traffic

How many spaces are free? The camera already knows

Counting free parking spaces and detecting congestion from existing camera images: how it was done in Denmark, what works in tunnels and what can be set up at your site.

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