Starling CV is a pedestrian and vehicle trajectory prediction framework, powered by a neural network, that helps improve road safety.
In Starling CV a neural network and computer vision system monitors and classifies moving objects in busy road and roadside scenes in real-time, calculates their trajectories, and infers the location of hidden pedestrians or cyclists (e.g. behind high-sided vehicles and buses). This enables the system to detect, predict and respond to changing safety conditions on pavements, roads and crossings.
The system can be installed at any road junction or crossing, and is used to control interactive road and pavement surfaces as well as curbside lighting and road markings, making pedestrians, cyclists & drivers safer and more aware of each other.