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Artificial Intelligence (AI)

EXCLUSIVE: Kapsch’s HoTCap AI vehicle-fingerprinting to close toll enforcement gap

Tom StoneBy Tom StoneMarch 19, 20264 Mins Read
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A simulated street-level view from a roadside Kapsch TrafficCom camera installation, showing three vehicles — classified as LuxurySedan, FamilyVan, and SUV — with licence plates and Kapsch branding overlaid, illustrating real-time vehicle identification and classification as part of the HoTCap system.
Kapsch TrafficCom unveils HoTCap at Intertraffic Amsterdam — AI vehicle fingerprinting that closes tolling revenue gaps without new infrastructure.

Kapsch TrafficCom used Intertraffic Amsterdam 2026 last week to make the world premiere of HoTCap, an AI-based vehicle fingerprinting technology designed to close the revenue gap that persists even in well-performing tolling systems.

The system – whose name stands for Holistic Toll Capture – works by creating a unique fingerprint from a vehicle’s overall shape and characteristics, rather than relying solely on licence plate recognition. Even where a plate is partially obscured, incorrectly read, or captured only in fragments across multiple cameras, HoTCap’s AI algorithms can compile a complete transactional record with a high degree of confidence.

A young man with curly dark hair and glasses, wearing a navy blazer and white shirt, smiles at the camera in front of the Kapsch TrafficCom exhibition stand at Intertraffic Amsterdam 2026.
Samuel Kapsch, COO of Kapsch TrafficCom, at the company’s stand at Intertraffic Amsterdam 2026

Speaking exclsuively to TTi Samuel Kapsch, COO of Kapsch TrafficCom, described the core principle: “Even if the licence plate is partially covered while a vehicle is driving on the highway and you otherwise couldn’t create a secure transaction in the classic tolling system, [HoTCap allows you to] prove that this vehicle was, in fact, here via the fingerprint — and then actually generate the transaction, thereby improving the collection for our customers.”

A simulated overhead view of a multi-lane urban highway with vehicles travelling in both directions, with three vehicles highlighted by yellow detection boxes, each overlaid with a fingerprint icon and numerical confidence data, illustrating Kapsch TrafficCom's HoTCap vehicle identification system.
HoTCap analyses whole-vehicle characteristics — including shape and colour — to build a unique fingerprint, rather than relying on licence plate data alone.

Markus Russold, VP global sales enablement tolling at Kapsch TrafficCom, walked through a real-world scenario during his Intertraffic presentation to illustrate how the AI builds up its picture across a journey. As a vehicle passes through a series of cameras, each capture contributes to the fingerprint — even imperfect ones. In his example, a first camera reads a plate but with low confidence on one character; a second captures the vehicle while partially occluded; a third is blocked entirely by another vehicle; and a fourth delivers a cleaner capture. The AI synthesises all of these data points into a single, reliable transactional record. “All of these captures make up a fingerprint,” Russold said, “the all-important enabling technology.”

A Kapsch TrafficCom HoTCap promotional graphic showing four camera capture panels overlaid on a city highway interchange, illustrating a range of capture outcomes including a full read, two partial plate reads with unknown characters, and one panel showing no capture
ven where individual cameras produce partial or failed plate reads, HoTCap’s AI compiles the available data points into a single vehicle fingerprint

A key feature of HoTCap is that it is designed not as a replacement for existing tolling infrastructure but as an AI-powered layer that sits on top of it, enhancing what is already there. As Russold explained: “Tolling systems work perfectly well today. They are reliable, they are accurate. Still, there is a gap — it’s never really 100% perfect. With HoTCap, we aim to reduce that gap in order to reduce operational expenditure for our clients and to enable light infrastructure deployments.”

The system is hardware agnostic, working with existing camera installations — gantry-mounted or pole-based — and can mix and match the two, protecting previous infrastructure investment while improving overall performance. For operators building new systems from scratch, it also offers a lower-cost deployment path from day one.

A Kapsch TrafficCom promotional graphic showing the HoTCap system interface, with four camera feeds displayed, one showing no capture, alongside a high-confidence licence plate read of ABC-123 and the message "No manual review required", set against a cityscape background.
HoTCap aggregates data from multiple camera captures — including partial or failed reads — to produce a high-confidence transaction record without manual review.

Because cameras positioned at non-standard angles inevitably produce degraded licence plate reads, HoTCap’s AI-driven approach of analysing whole-vehicle features makes it particularly well suited to these lighter, more flexible deployments. Russold noted that the technology assesses overall vehicle shape and colour rather than specific identifiers such as scratches or damage, delivering consistent performance across both new and older vehicles.

Kapsch TrafficCom confirmed that Intertraffic Amsterdam marks the first public announcement of HoTCap, with no prior press release having been issued ahead of the show.

Samuel Kapsch positioned the launch within the company’s broader strategic direction around infrastructure-light tolling: “Any infrastructure that you can remove is a good thing — lower maintenance costs, lower risk. And you’re really leveraging technology itself and trusting in the algorithms.”

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Previous ArticleJenoptik acquires ITS business from FIMA to strengthen Baltic presence
Tom Stone

Tom has edited Traffic Technology International (TTi) magazine and its Traffic Technology Today website since May 2014. During his time at the title, he has interviewed some of the top transportation chiefs at public agencies around the world as well as CEOs of leading multinationals and ground-breaking start-ups. Tom's earlier career saw him working on some the UK's leading consumer magazine titles. He has a law degree from the London School of Economics (LSE).

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A simulated street-level view from a roadside Kapsch TrafficCom camera installation, showing three vehicles — classified as LuxurySedan, FamilyVan, and SUV — with licence plates and Kapsch branding overlaid, illustrating real-time vehicle identification and classification as part of the HoTCap system.

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