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).