Eyedea develops visual recognition systems for the traffic sector, powered by AI and machine learning. For nearly two decades, we’ve developed proprietary AI models for traffic analysis, monitored the automotive sector, and conducted research. Our flagship products include ANPR for accuracy-critical mobility sectors and MMR—offering the market’s most detailed vehicle recognition. They are trusted by camera makers, e-tolling providers, integrators, and enforcement—including INTERPOL and Europol.

Eyedea Recognition

MMR+ANPR REST Server - User Guide

Snímka obrazovky 2025-05-09 o 10.20.54.png

Our MMR recognizes 16 classes of vehicles & 17 road user categories. Recognition of vehicles covers 336 makes, 2,722 models, and 7,122 generations—including variations and colors. Recognition of road users covers vehicles, bicycles, pedestrians, motorcycles, scooters, e-scooters, kickbikes, kick scooters, tricycles, quadbikes, trailers, trolleys, prams, luggage, animals, rickshaws, and pedestrians pushing trolleys. 

Try it for free at https://trafficeye.ai, or contact filip.kachnic@eyedea.ai

Vehicle Make & Model Recognition (MMR)

Recognition of 16 vehicle classes & 17 road user categories

ju-7YqQeM6M

ANPR

Detects all plates in images or video, including special characters, states, single/multi-line formats, ADR codes, vehicle sets, and wheel counts. Designed for accuracy-critical mobility sectors, with MMR offering market-leading vehicle recognition. Trusted by camera makers, e-tolling providers, integrators, and agencies like INTERPOL and Europol. Accuracy exceeds 99% even in rain, fog, snow, or tailgating scenarios.

Test for free at https://trafficeye.ai/ or contact filip.kachnic@eyedea.ai

Number Plate Reading (ANPR)

Traffic Analyzer

Snímka obrazovky 2025-05-09 o 9.28.03.png

A desktop application for traffic data collection that integrates our MMR and ANPR systems. The application reads license plates and independently recognizes other vehicle attributes such as make, model, generation, vehicle color, & direction of view. Field-proven solution grounded in real-world traffic conditions.

The console version is available as a Docker image and can be executed in parallel as many times as needed. The output data can be directed to an FTP server.

AI-Powered Traffic Analysis from Images, Video Footage, and Live Streams

Forensic ANPR

Snímka obrazovky 2025-05-09 o 10.51.55.png

A desktop application for offline analysis of unreadable license plates in degraded video or photo evidence. It uses a proprietary deep neural network trained specifically for recovering license plate content from degraded visual input, such as motion blur, low resolution, poor lighting, or oblique angles. Equipped with our MMR, it enables recognition over 15,000 make-model-generation-variant combinations. It currently supports 36 countries.

For trial contact filip.kachnic@eyedea.ai

Reading unreadbale license plates & vehicle classification

YwM9ZRsET1E

Visual Cabin Inspection

With years of experience in AI recognition for traffic, we are also able to deliver solutions such as Vehicle Cabin Visual Inspection. We can process the low-resolution vehicle cabin images in low light conditions and limited view through the windshield. This allows us to detect seat occupancy, seat belts fastened and driver distraction.

For trial contact filip.kachnic@eyedea.ai

Vehicle Cabin Visual Inspection

TrafficEye Cloud

Trafficeye

TrafficEye

World-leading Number Plate Recognition (ANPR) fused with most detailed Make & Model Recognition (MMR)on the market.

Anonymization

Eyedea’s Anonymizer is a high-speed, high-precision AI-powered tool for anonymizing human faces and vehicle license plates in images and videos. It ensures privacy by automatically detecting and blurring sensitive elements, even in low-resolution or spherical street-view inputs. Built on the WaldBoost algorithm and trained with massive datasets, it’s offered as an SDK or GUI for Windows and Linux, supporting both CPU and GPU processing.

Anonymizing human faces, vehicle license plates and vehicles.

UIC wagon number reading

Eyedea’s OCR system reads complete UIC wagon numbers from side-view images or video, even on moving wagons. It works independently of wagon type or construction, with >99% accuracy across Europe. Custom hardware integration, high adaptability, and confidence scoring per character make it ideal for railway operators, infrastructure firms, and authorities. Software can be prepared for other sensor types. Windows 64-bit. Perpetual license + 12-month support.

UIC wagon number recognition software system

Frontex

We will showcase our AI-powered vehicle recognition technologies such as ANPR and MMR, supporting authorities in monitoring vehicle movement — a critical task given that over 30 million cross-border crime cases are detected in the EU each year.

AI Visual Recognition for Traffic Applications

1d2xLhr9AW4

Tenair

Datalayers

<noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-5VV8H82"
height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>

Google Tag Manager

Preference center

Cookie Bot

Log in to add this article to your reading list

Would you like to read this article again later?

Intertraffic Amsterdam 2026

Delete Account

Messages

The table below shows the Banner Name(s) that will appear on your stand(s). This name was provided during registration and may differ from the company name in your Company Profile. Changing your company name in the profile does not affect your Banner Name. 
If you wish to change your Banner Name, please contact Account Support.

We are working on creating more insights regarding the stands at RAI. Please visit the FAQ for more information about this topic.

Eyedea Will Exhibit at Frontex Industry Days 2025

Organised by

Intertraffic Global