Unidentified object in the skies of Trento, Italy – Aliens? Most of the citizens and local journals could think that, read some of the local newspapers. Do not worry, there is no danger of alliens attack so far, DataFromSky has a simple and reasonable explanation!
Using a special balloon for traffic data collecting, new DataFromSky traffic analysis near the city of Trento in northern Italy was undertaken within last weeks. Specially designed ballon was used for a 3hour long study of traffic flow in the multilevel roundabout as shown in the attached image. This helium-filled balloon has many advantages for the persistent traffic monitoring, in comparison to commonly used drones and UAV, as the operating time of the balloon can reach up to 5 hours! To get more information about this solution and its specification, read this article or contact us directly on email@example.com.
DataFromSky has participarted in PTV’s periodic event – Traffic Innovation Workshop, held on 26. 10. 2017 in Dubai, UAE! Thanks to our regional Business partner in the Middle East, the capabilities and great progress of DataFromSky system was demonstrated during this event, which is a good opportunity to bring together transportation professionals and ITS providers from public authorities, consultancies and academics.
We are pleased, that our solution have attracted many participants of the event and that we have met with a very positive feedback!
We have recently released a new enhanced version of DataFromSky Viewer! You can download the demo package at the home page. The list of differences includes a lot of things, so let’s take a look at few of them.
New feature? Calculate and export headways!
Have a look on the picture below, how to display the headway data in the Viewer. It is important to have the gates set properly per each lane to get the most accurate data. Once you have all the gates defined, choose one gate in the Traffic Analysis Gates box and click on button “Show” in More Statistics option. In a newly opened window, there is possibility to click on Calculate headways. The system will automatically calculate headways for all defined gates in the video. The headway data can be exported to the CSV file, simply by clicking on “Export”.
Movement Dynamics Graph
We have visualized movement dynamics for each trajectory into a graph containing information about the vehicle’s speed and acceleration (total, lateral or tangential). This graph can be created for each selected trajectory.
Some other improvements…
- Start of Video Sequence
- Start of Tracking Log
- Start of Trajectory
In terms of perimeter security, solution based on UAVs provide several advantages over mounted cameras or simply patrolling the property yourself, including mobile video surveillance, remote control and stealth.
The key part of such solution is automatic detection and recognition of possible threats from bird-view perspective. DataFromSky is the most advance aerial artificial intelligence (AAI) trained and tested on thousands of millions of images to identify vehicles, pedestrians, bikes and other objects. It opens a new dimension of applications of drones for reliable and mobile protection of critical areas/infrastructure. Take a look at the brief demonstration of technology we are working on.
Are you interested in cooperation? Don’t hesitate to contact us, we are looking for system and integration partners in the segment of perimeter surveillance using UAVs.Read more
Massive progress we have made in DataFromSky! As we keep on further development of DataFromSky solution, we can now boast great successes in the field of automatic detection from a moving UAV!
Imagine that you can directly detect and count the vehicles in traffic congestions while flying a drone over the traffic node! Impossible? Not anymore – since this moment, DataFromSky can detect and analyze vehicles from a flying UAV and provide information about the total number of vehicles and its category. Knowing such valuable information in real time, one can immediately predict the length of delay in the traffic congestion or the length of the tailback itself.
The success rate of the detection exceeds 95,67 % and the detection works on 12 828 CUDA cores – the image is evaluated in 200 ms.
See the video below, showing the raw data output from the detector – the data is not additionally modified in any way (no tracking, no filtration), however, even with the raw output we reached such a high accuracy of detection. Further data processing (tracking, etc.) will make the output even more accurate!