New enhanced version of our software tool for advanced data interpretation and visualization – DataFromSky Viewer – comes up with few very useful and special features! We have added new functionality: Object presence alert.
By a polygon you can define a zone with guarded objects – you can even create conditions under which the alert will appear. This functionality transforms DataFromSky to a perfect mobile solution for monitoring of areas of interest such as airports, military establishments, border lines and other areas with increased demands for flexible protection against penetration of intruders. If you want to get more information about the current state of development, please do not hesitate to contact us using any of our contact details!
DataFromSky in cooperation with COWI is coming with a new traffic analysis from Denmark! As in all other major cities, massive amounts of traffic goes in and out of Copenhagen every day. This leads to congestion and the everlasting discussion on how to effectively move as many people as possible. In Copenhagen, almost 50 percent of all commuting trips are made using bicycles. This results in numerous potential conflicts between bicycles and cars, and the battle for allocating and distributing sheer road surface space between the transport modes is continually on – especially at certain locations, where available space is scarce. One such place is “Christmas Moellers Plads”, an intersection complex connecting inner Copenhagen to the island Amager. Through the use of a specialized UAV and Data From Sky, COWI has obtained a complete 4-hour overview of traffic passing through this complex for both cyclists and motorists – and the interaction between the two. The data extracted now forms the basis for looking into new and better solutions that will keep this people mover perform at its best.
We never rested on our laurels! Our tool for trajectory interpretation DataFromSky Viewer is being constantly evolved and now comes with few new functionalities!
Multilevel intersection detection
DataFromSky can track vehicles in multilevel roads! As the video shows, we can track all the vehicles even when the visual occlusion appears. DataFromSky can follow the whole trajectory of the car for the tracked time and collect reliable data – average speed, acceleration, gap-time, time to follow, heatmaps or dimensions of vehicles.
Since now, we are able to count the time, for which is the vehicle in a stationary position, in other words, how long the vehicle has to wait until it passes some obstacle (intersection, traffic lights, traffic jam etc.). This figure may help to determine the utilization and load of a traffic junction.
Hight: 81 m, top-down view
Place: multilevel intersection, Kato Varibobi – Greece
Take a look at the video below, demonstrating new useful functionalities of DataFromSky!
DataFromSky is a unique solution for motion analysis of aerial video data. The ability to detect, track and classify moving objects from aerial videos provided by drones, fixed cameras or other video sources opens new possibilities in the field of traffic monitoring. The technology behind is under intensive development and grows more efficient every day through the embedded capability of learning from its mistakes. We are happy to announce that we have made a significant step towards enhanced accuracy thanks to the complex integration of deep neural networks into DataFromSky framework. Our deep neural networks are being trained on millions of samples 24 hours a day. The quality is quite impressive right now!
Our tool for trajectory interpretation DataFromSky Viewer also comes with a new functionality. The new version extracts parameters which are sometimes difficult to obtain, such as gap-time, time to follow, heatmaps, and dimensions of vehicles. We recognize the potential of the data we are able to obtain, and, therefore, co-work on our tools with traffic researchers and traffic engineers worldwide. The video below demonstrates the new functionality of DataFromSky Viewer. Take a look!
It’s time for yet another roundabout from Denmark! This time recorded in the city of Randers, using a tethered drone at altitude of 70 meters and processed as a 5-minute demo for COWI. Given that the drone’s range was 80 meters and it appears to be placed some 90 meters away, the result is certainly nice.
Frame rejection capability
Somewhat less nice is that the video has a few erroneous frames (images). So, we added function to fix that – marking frames as rejected for analysis. It does not mesh perfectly with all of the DFS parts yet: You may notice the background blinks (video problem) and that trajectories are smooth (data is cured), but somewhat confusing is that the labels themselves will jump (visualization breaks). Well, that’s a problem of display only, and will get better soon. The data is correct, that mattered as the first goal.
(Note also that since the web video player drops some frames on its own, you have about a 50/50 chance to even notice any single bad frames from the video below – you can try hunting for the one that occurs at about 0:50).
Objects tracked: 220
Total distance travelled: 24314 m
Average speed: 10.31 km/h
As Denmark has become first country in the world using real-time traffic data all around the country we got the opportunity to analyse one of many busy crossroads in there. For us it is the second time monitoring traffic in Denmark, this time in Rismarksvej. The intersection is four-way and bicycles friendly and controlled by traffic lights.
Length of analyzed video: 11 minutes
Number of objects being tracked: 525 (vehicles and bicycles)
Total distance traveled: 89 044.4 metres
Average speed: 11.104 km per hour
The exact location is:
And we would like to thank to RAMBOLL for providing us a video.
What can we get from 4K resolution in the field of traffic monitoring? We tried it for the first time and the answer is – coverage of huge intersections with great accuracy in the vehicle localization! DataFromSky is prepared to bring you high quality aerial video data.
See the first analyzed video in 4K provided by DronExplore.