Street Simplified was created to make the streets of the world safer and smarter. We are achieving this goal with cameras and a proprietary vision algorithm that can autonomously recognize vehicles, cyclist, and pedestrians in any environment and weather condition.
Our vision algorithm uses cutting edge machine learning to accurately identify vehicles, cyclists, and pedestrians. From these detections we are able to collect other relevant information such as speed, size, and location of everything in view.
Object tracking takes the detections and updates them in real time. This ability allows us to made predictive decisions about the future position of vehicles and pedestrians which is critical for improving the safety and adaptability of intersections.