Make and Model Recognition (MMR)

Highlights

10 categories
275 makes
2175 models
5786 generations
9 TAGs
front + rear views
day + night light

Accuracy & Performance

99% category
98% make and model
95% generation and variation
4 ms GPU speed

Our AI based software analyses vehicle appearance and recognizes vehicle category, make, model, generation, variation, TAG and colour. It processes front and rear images taken in both day and night light conditions.

Typical applications: toll systems, traffic safety and surveillance systems, law enforcement, entrance and parking systems, police and governmental applications, traffic infrastructure planning systems, smart cities and others.

new feature in version 2.20.0 - TAG recognition

The December 2022 release of MMR SDK 2.20.0 introduces a new feature that recognizes additional vehicle features called TAGs.

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ambulance
law enforcement
fire brigade
caravan
pickup
push bumper
rear mount
wood truck
animal transport
Feature Product type
SDK Embedded SDK REST API Server
Recognition Category + Make + Model + Generation + Variation + Color + Tags
Camera View Frontal + Rear
Regions Europe, Middle East, North America, Asia&Pacific, South Africa
Target Implementation Cameras & Computer connected cameras Customer Proprietary Applications Service on Demand at client site
Supported Platforms
  • Windows (Win32 & x64)
  • Unix (x86_64 & AArch64)
  • CPU / GPU
    • *other on request
  • Windows (Win32 & x64)
  • Unix (x86_64 & AArch64)
  • CPU / GPU
    • *other on request
  • Docker image
  • Ubuntu x86_64
  • CPU / GPU
    • *other on request
    License type Time unlimited license with 12 months support (extendable)
    Performance 4 ms per vehicle on GPU, 8 ms on CPU, see technical sheet for details
    Accuracy
  • Category > 99 %
  • Make and model > 98 %
  • Generation and variation > 95 %
  • Color > 80 %
    • *in normal daylight conditions
    Online Demo Yes, available here
    *you can also request offline demo

    In action

    Try our ONLINE DEMO or ...

    Contact us

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