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

Interesting Facts in the New Version of MMR and ANPR

The new MMR product release introduces enhanced vehicle classification, distinguishing between regular trucks and semi-trucks, and detecting whether a motorcycle rider or cyclist is wearing a helmet. The ANPR system now automatically groups multi-vehicle units into sets, and thanks to the improved detector, it can also identify the number of wheels.

Regular updates to the neural networks ensure recognition of new vehicle models, expand geographical coverage (now including all South American countries), and enhance overall classification accuracy.

TAČR

We are thrilled to announce that Eyedea Recognition has been awarded funding by the Czech Republic’s Technology Agency (Technologická Agentura České Republiky - TA ČR) for our innovative project, “Inovative Object Detector from Traffic Cameras.” This recognition not only reinforces our position as a leader in developing cutting-edge traffic technologies but also validates our ongoing commitment to research and innovation.

With this generous support, we are poised to take our solutions to the next level. Our advanced ANPR (Automatic Number Plate Recognition) and MMR (Make and Model Recognition) systems will be further enhanced by integrating new object detection capabilities.

Europol

Europol’s own expert jury selected the participating companies for the event, organized by the Europol Innovation Lab, to showcase the latest technological advancements in the security market.

Eyedea will conduct a series of workshops tailored specifically for Law Enforcement Agencies (LEAs). This exceptional event will bring together leading experts from law enforcement, defense, industry, and academia to explore cutting-edge innovations and solutions in the field of security and public safety. 𝘕𝘰𝘵𝘦: 𝘗𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘵𝘪𝘰𝘯 𝘪𝘯 𝘵𝘩𝘦 2025 𝘌𝘶𝘳𝘰𝘱𝘰𝘭 𝘐𝘯𝘥𝘶𝘴𝘵𝘳𝘺 𝘢𝘯𝘥 𝘙𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘋𝘢𝘺𝘴 𝘦𝘷𝘦𝘯𝘵 𝘪𝘴 𝘢𝘯 𝘰𝘱𝘱𝘰𝘳𝘵𝘶𝘯𝘪𝘵𝘺 𝘵𝘰 𝘱𝘳𝘦𝘴𝘦𝘯𝘵 𝘱𝘳𝘰𝘥𝘶𝘤𝘵𝘴/𝘴𝘦𝘳𝘷𝘪𝘤𝘦𝘴, 𝘣𝘶𝘵 𝘵𝘩𝘢𝘵 𝘵𝘩𝘪𝘴 𝘥𝘰𝘦𝘴 𝘯𝘰𝘵 𝘪𝘮𝘱𝘭𝘺 𝘢𝘯𝘺 𝘦𝘯𝘥𝘰𝘳𝘴𝘦𝘮𝘦𝘯𝘵 𝘣𝘺 𝘌𝘶𝘳𝘰𝘱𝘰𝘭.

Roadpol

We will present to high-ranking police representatives from over 30 countries and the European Union at the International Conference on Road Safety in Italy on October 9th. The presentation, titled “Smart Solutions for Road Safety,” will highlight the impact of ANPR (Automatic Number Plate Recognition) and MMR (Mobile Mapping Radar) technologies in enhancing law enforcement capabilities.

ROADPOL is a network of European traffic police forces focused on reducing road fatalities and serious injuries across Europe.

Frontex

We are proud to announce that Eyedea Recognition successfully showcased its innovative solutions at the Frontex General Industry Days. Being selected as one of 16 companies from 50 applicants highlights the advanced capabilities of our technologies and their critical role in tackling the challenges of modern border surveillance.

During the event, we demonstrated to law enforcement authorities from Frontex, European Member States, Interpol, and Europol how our Automatic Number Plate Recognition (ANPR) and Make and Model Recognition (MMR) technologies can enhance border management and security measures.

𝘕𝘰𝘵𝘦: 𝘗𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘵𝘪𝘰𝘯 𝘪𝘯 𝘵𝘩𝘦 2025 𝘌𝘶𝘳𝘰𝘱𝘰𝘭 𝘐𝘯𝘥𝘶𝘴𝘵𝘳𝘺 𝘢𝘯𝘥 𝘙𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘋𝘢𝘺𝘴 𝘦𝘷𝘦𝘯𝘵 𝘪𝘴 𝘢𝘯 𝘰𝘱𝘱𝘰𝘳𝘵𝘶𝘯𝘪𝘵𝘺 𝘵𝘰 𝘱𝘳𝘦𝘴𝘦𝘯𝘵 𝘱𝘳𝘰𝘥𝘶𝘤𝘵𝘴/𝘴𝘦𝘳𝘷𝘪𝘤𝘦𝘴, 𝘣𝘶𝘵 𝘵𝘩𝘢𝘵 𝘵𝘩𝘪𝘴 𝘥𝘰𝘦𝘴 𝘯𝘰𝘵 𝘪𝘮𝘱𝘭𝘺 𝘢𝘯𝘺 𝘦𝘯𝘥𝘰𝘳𝘴𝘦𝘮𝘦𝘯𝘵 𝘣𝘺 𝘌𝘶𝘳𝘰𝘱𝘰𝘭.

CELBET

Eyedea Recognition, a leading provider of AI-powered visual analysis technology showcased its Automatic Number Plate Recognition (ANPR) and Make Model Recognition (MMR) capabilities to the Customs Eastern and South-Eastern Land Border Expert Team (CELBET).

This network, involving representatives from 11 EU Member States, focuses on enhancing customs control equipment and techniques. Martin Urban and Filip Kachnic presented how Eyedea's technologies can improve vehicle identification and border management efficiency.  We were privileged to contribute to discussions on the latest advancements in EU border management strategies.

MMR+ANPR REST Server - User Guide

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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

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AI Visual Recognition for Traffic Applications

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