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
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