PRESS RELEASE: From License Plates to Rider Safety: Eyedea Recognition Expands Intelligent Traffic Recognition
by Václava Parkánová01 March 20263 min read
Prague, Czech Republic – March 2, 2026 At Intertraffic Amsterdam, Eyedea Recognition introduces the market’s most detailed Make & Model Recognition (MMR) system, now enhanced with automatic rider counting and helmet detection, alongside its globally deployed ANPR technology capable of reliably reading license plates even from sharp viewing angles. Both solutions are the result of nearly two decades of continuous proprietary neural network development.
Smarter Vision for Safer and Data-Driven Mobility
As transportation systems evolve toward automation and data-driven decision-making, accurate visual intelligence is becoming a core infrastructure component. At this year’s Intertraffic Amsterdam, where Eyedea Recognition will exhibit at booth 01.510, the company presents advanced recognition technologies designed for large-scale real-world deployment across global mobility ecosystems.
Eyedea Recognition’s MMR (Make & Model Recognition) technology, continuously developed since 2007, ranks among the most detailed vehicle recognition systems available worldwide. Today, the system is capable of classifying vehicles across 16 categories, 371 makes, 3,005 models, 7,830 generations, and 20 visual attribute tags, reflecting nearly two decades of proprietary neural network training and refinement. This exceptional level of granularity enables highly precise vehicle identification far beyond standard detection capabilities. In addition to recognizing vehicle make, model, and body type, the newest generation introduces safety-focused analytics, including automatic detection of rider count on motorcycles and other single-track vehicles, as well as identification of riders without helmets — enabling new approaches to traffic safety monitoring, enforcement, and compliance.
Complementing MMR is Eyedea Recognition’s ANPR (Automatic Number Plate Recognition) solution, developed since 2006, placing the company among the early pioneers of modern license plate recognition. Its proprietary OCR engine detects license plate corners even from sharp viewing angles, allowing reliable recognition of heavily angled, partially visible, or otherwise difficult plates. Current development focuses on continuous regional accuracy optimization, ensuring consistent performance across diverse plate formats and global deployments.
Designed for Modern Mobility Ecosystems
Unlike conventional traffic monitoring systems limited to vehicle detection, Eyedea Recognition technologies provide broader situational awareness. MMR also detects soft mobility and vulnerable road users, including pedestrians, bicycles, strollers, and animals — delivering valuable contextual data for safer infrastructure planning and traffic analysis.
Both MMR and ANPR are deployed globally and support key mobility and security sectors, including:
• E-Tolling & Intelligent Transport Systems (ITS)
• Parking & Access Management
• Law Enforcement and Traffic Enforcement
• Smart City Infrastructure
• Police Investigation and Forensic Analysis
By combining highly accurate vehicle identification with deep contextual recognition, Eyedea Recognition enables operators and authorities to transition from passive monitoring toward predictive traffic management, improved safety enforcement, and data-driven infrastructure optimization.
Eyedea Recognition will showcase both technologies at Intertraffic Amsterdam at booth 01.510, demonstrating how long-term AI development translates into practical solutions ready for real-world mobility challenges.
About Eyedea Recognition
Eyedea Recognition specializes in computer vision and artificial intelligence technologies for traffic monitoring, mobility analytics, and parking solutions. Built on nearly 20 years of proprietary neural network research, its globally deployed recognition systems deliver high-precision vehicle and mobility intelligence for transportation operators, cities, and security organizations worldwide.
Media Contact
Václava Parkánová
Eyedea Recognition
vaclava.parkanova@eyedea.ai
+420 605 271 540
Meet Eyedea Recognition at Intertraffic Amsterdam – Booth 01.510
As transportation systems evolve toward automation and data-driven decision-making, accurate visual intelligence is becoming a core infrastructure component. At this year’s Intertraffic Amsterdam, where Eyedea Recognition will exhibit at booth 01.510, the company presents advanced recognition technologies designed for large-scale real-world deployment across global mobility ecosystems.
Eyedea Recognition’s MMR (Make & Model Recognition) technology, continuously developed since 2007, ranks among the most detailed vehicle recognition systems available worldwide. Today, the system is capable of classifying vehicles across 16 categories, 371 makes, 3,005 models, 7,830 generations, and 20 visual attribute tags, reflecting nearly two decades of proprietary neural network training and refinement. This exceptional level of granularity enables highly precise vehicle identification far beyond standard detection capabilities. In addition to recognizing vehicle make, model, and body type, the newest generation introduces safety-focused analytics, including automatic detection of rider count on motorcycles and other single-track vehicles, as well as identification of riders without helmets — enabling new approaches to traffic safety monitoring, enforcement, and compliance.
Complementing MMR is Eyedea Recognition’s ANPR (Automatic Number Plate Recognition) solution, developed since 2006, placing the company among the early pioneers of modern license plate recognition. Its proprietary OCR engine detects license plate corners even from sharp viewing angles, allowing reliable recognition of heavily angled, partially visible, or otherwise difficult plates. Current development focuses on continuous regional accuracy optimization, ensuring consistent performance across diverse plate formats and global deployments.
Designed for Modern Mobility Ecosystems
Unlike conventional traffic monitoring systems limited to vehicle detection, Eyedea Recognition technologies provide broader situational awareness. MMR also detects soft mobility and vulnerable road users, including pedestrians, bicycles, strollers, and animals — delivering valuable contextual data for safer infrastructure planning and traffic analysis.
Both MMR and ANPR are deployed globally and support key mobility and security sectors, including:
• E-Tolling & Intelligent Transport Systems (ITS)
• Parking & Access Management
• Law Enforcement and Traffic Enforcement
• Smart City Infrastructure
• Police Investigation and Forensic Analysis
By combining highly accurate vehicle identification with deep contextual recognition, Eyedea Recognition enables operators and authorities to transition from passive monitoring toward predictive traffic management, improved safety enforcement, and data-driven infrastructure optimization.
Eyedea Recognition will showcase both technologies at Intertraffic Amsterdam at booth 01.510, demonstrating how long-term AI development translates into practical solutions ready for real-world mobility challenges.
About Eyedea Recognition
Eyedea Recognition specializes in computer vision and artificial intelligence technologies for traffic monitoring, mobility analytics, and parking solutions. Built on nearly 20 years of proprietary neural network research, its globally deployed recognition systems deliver high-precision vehicle and mobility intelligence for transportation operators, cities, and security organizations worldwide.
Media Contact
Václava Parkánová
Eyedea Recognition
vaclava.parkanova@eyedea.ai
+420 605 271 540
Meet Eyedea Recognition at Intertraffic Amsterdam – Booth 01.510
