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Eyedea Recognition

AI Visual Recognition for Traffic Applications

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.

STAND NUMBER:
01.510
CATEGORIES:
Product group
Parking:
Operating systems, Parking management software, Parking equipment
Road safety:
Emergency systems & equipment, Incident management, Detection & enforcement systems
EVENT:
Intertraffic Amsterdam 2026
ADDRESS:

Vyšehradská 320 /49 12800 Prague 2 Czechia

SOCIAL MEDIA:

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News

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  • PRESS RELEASE: From License Plates to Rider Safety: Eyedea Recognition Expands Intelligent Traffic Recognition
    01 March 2026

    PRESS RELEASE: From License Plates to Rider Safety: Eyedea Recognition Expands Intelligent Traffic Recognition

  • Member of our team, Luboš Král, in an interview for Česká justice
    06 November 2025

    Member of our team, Luboš Král, in an interview for Česká justice

  • Eyedea Will Exhibit at Frontex Industry Days 2025
    11 September 2025

    Eyedea Will Exhibit at Frontex Industry Days 2025

  • Interesting Facts in the New Version of MMR and ANPR
    15 April 2025

    Interesting Facts in the New Version of MMR and ANPR

  • Eyedea Secures Funding from the Czech Republic's Technology Agency
    02 April 2025

    Eyedea Secures Funding from the Czech Republic's Technology Agency

  • Eyedea at Europol Industry Days
    08 January 2025

    Eyedea at Europol Industry Days

  • Eyedea at Roadpol
    23 August 2024

    Eyedea at Roadpol

  • Eyedea at Frontex Industry Days 2024
    09 April 2024

    Eyedea at Frontex Industry Days 2024

  • Presentation to CELBET
    29 November 2023

    Presentation to CELBET

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