Vehicles counting and classification

Vehicles counting and classification

Recognition and counting of vehicles in automatic mode allow assessing road congestion and analyzing traffic density both along the entire highway as a whole and in individual lanes.

Solution metrics

  • 99%

    Recognition accuracy

    Accuracy measured on test videos in the daytime

  • Up to 2/day

    False positive

    Number of false positives per day per camera

  • 10 FPS

    FPS

    Frames per second

  • FullHD

    Video quality

    Recommended video stream quality

Technology Description

Vehicle detection and counting is based on a set of neural networks optimized for CPU and GPU operation. A neural network for object detection is the basic element of the solution; most other video analytics are based on it.

RoadAR is distinguished by high quality of detection in difficult conditions, a low percentage of false positives, and the ability to train the system as it works (due to the built-in algorithm for collecting target datasets).

Vehicle counting statistics are kept by traffic lanes and vehicle types (it is also possible to record statistics by vehicle make and model).

  • High accuracy in simple and difficult conditions
  • Fast object recognition

Features of the technology

  • High accuracy out of the box

  • Additional training in the process of work

  • GPU and CPU optimization

  • Cost Savings for Video Surveillance

  • Proven technology

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