· Traffic monitoring for Smart Cities.
· Vehicle counting on multiple lanes.
· Individual speed of each vehicle
· Different types of vehicles.
The easiest and most efficient way to monitor and optimise traffic
uRAD Smart Traffic are specific solutions in the field of smart cities for non-invasive traffic monitoring in urban environments.These finished customizable solutions for vehicle counting integrate our radars along with additional specific software and hardware.
All our systems are affordable, easy to install and configure,very versatile since can be installed in any road, and outstandingly accurate, with an effectiveness higher than 95%.
Results and reports
The device saves data in .csv files, capturing timestamp, speed, lane, and vehicle type for each target. We offer personalized reports with traffic statistics adapted to the preferences of each client.
API and POWERED by FIWARE
The equipment is configurable through an API to upload data to any desired cloud platform. Additionally, it is certified as an IoT sensor powered by FIWARE , the most widely adopted international standard for Smart Cities.
Real-time web platform
We also offer an online platform to visualize real-time statistics that is customizable to each client according to specific requirements. Users can also download reports with all the information in a quick and easy way.
With the information provided by uRAD Smart Traffic you will be able to study, organise and optimise the traffic of a city or an interurban environment.
Be part of the change to Smart Cities
Discover the potential of uRAD Smart Traffic
Velocity measurement up to 180 Km/h.
Urban and interurban roads.
Dense or light traffic scenarios.
Monitoring of up to 4 lanes with one radar.
* Up to 3 lanes in one direction.
Vehicle counting with positive (moving away) and negative (approaching) speed simultaneously.
Differentiation between regular, medium, and long vehicles, bicycles, and pedestrians.
Do it yourself! DIY kit to develop your own application
uRAD tracking software allows to count vehicles in multiple lanes, measuring the velocity and classifying them, with high accuracy and minimal configuration. This software consists of a Python program that has to be run in the master device (i.e. Raspberry Pi) that controls uRAD Industrial. This software together with the master device:
• Sends the corresponding configuration parameters to uRAD Industrial.
• Receives from uRAD Industrial the 3D point cloud with X, Y, Z space coordinates, velocity and SNR (Signal to Noise Ratio).
• Processes the point cloud to identify vehicles, extract their velocity and classify them.
• Saves a counting list with the relevant information.