Vehicle stop

Stopping the vehicle in places where it is prohibited can cause an accident or a traffic jam. Roadly detects stopped vehicles and notifies the operator about them.
Solution metrics
  • 98%

    Recognition accuracy

    Accuracy measured on test videos in the daytime

  • < 1

    Number of false positives per day per camera

  • ≥ 10 FPS

    Frames per second

    camera requirement

  • ≥ HD

    Recommended video stream quality

  • 20 px

    Object size requirements in the frame

    per vehicle

Technology Description

Special areas are designated for stopping and parking vehicles on highways to prevent congestion in case one or more vehicles need to stop. If a vehicle stops in an inappropriate location, it can cause a slowdown in the entire traffic flow or create a potentially hazardous situation. Therefore, detecting stationary vehicles becomes a priority in video analytics systems.


In regular video surveillance, operators may struggle to timely identify all stationary vehicles due to the analysis of large data volumes. Neural networks, however, excel at this task. The Roadly system calculates the averaged position of a vehicle in the image over the last X frames and the averaged position of the vehicle X frames ago. If these positions coincide, and there is no congestion in the traffic lane, the vehicle is considered stationary. Thus, Roadly identifies instances of intentional cessation of movement on roadways, highways, and other areas where stopping and parking are prohibited, as well as vehicle stops due to breakdowns and accidents.

Screenshots and demo videos

Features of the technology

High accuracy even in the dense traffic flow
Stopped vehicle detection
Detection of vehicles stopped where it's prohibited
Detection of non-congestion related stops