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
Infrastructure:
Charging systems
Parking:
Operating systems, Parking management software, Parking equipment
EVENT:
Intertraffic Amsterdam 2026
ADDRESS:
Vyšehradská 320 /49 12800 Prague 2 Czechia
WEBSITE:
Products
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Vehicle Make & Model Recognition (MMR)
Recognition of 16 classes of vehicles & 17 road user categories
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.aiNumber Plate Reading (ANPR)
Extremely accurate and fast license plate recognition powered by AI. Detects all plates in images or video, including special characters and registration states. Supports single- and multi-line plates, ADR hazardous goods codes, and identifies vehicle sets and wheel counts. Try it free at https://trafficeye.ai or contact filip.kachnic@eyedea.ai.Traffic Analyzer
Traffic Data Video Analysis
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. Try it for free at https://trafficeye.ai, or contact filip.kachnic@eyedea.aiForensic ANPR
Reading unreadbale license plates & vehicle classification
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.aiVehicle Cabin Visual Inspection
Image and Video AI Traffic Surveillance
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.aiTrafficEye Cloud
World-leading Number Plate Recognition (ANPR) fused with most detailed Make & Model Recognition (MMR)on the market.
Anonymization
Anonymizing human faces, vehicle license plates and vehicles.
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.
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