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.

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’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.

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.

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Our MMR recognizes motorized and non-motorized entities across 17 vehicle types and 16 road user categories. Vehicle recognition covers  336 vehicle makes, 2,722 models, and 7,122 generations—including variations and colors. Beyond vehicles, it recognizes 15 road user categories, including bicycles, pedestrians, motorcycles, scooters, e-scooters, kickbikes, kick scooters, tricycles, quadbikes, trailers, trolleys, prams, luggage, animals, rickshaws, and even pedestrians pushing objects.

Vehicle Make & Model Recognition (MMR)

Vehicle Make, Model, Generation, Variation & Color Recognition

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Traffic Analyzer

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A desktop application for traffic data harvesting that integrates our MMR and ANPR systems. The input can be a video file, an online video stream, or a photo directory. The application detects and 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.

Try out Traffic Analyzer for free via our cloud-based service: https://trafficeye.ai/

Forensic ANPR

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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.

Reading unreadbale license plates & vehicle classification

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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.

Vehicle Cabin Visual Inspection

AI Visual Recognition for Traffic Applications

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Tenair

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