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DataFromSky traffic analysis in United Arab Emirates

DataFromSky has recently analyzed several traffic videos collected in United Arab Emirates, near cities of Dubai or Abu Dhabi. Output from one of these analysis may be seen below, or on our Vimeo channel. This analysis proves, that our system is adapted and capable of analyzing the videos in various weather conditions, including very dusty or sandy environment such the one in Emirates, as proven in the video.

Moreover, in recent times, our team of DataFromSky is working on development of realtime UAV solution – drone analyzer, that will be able to provide accurate traffic data right off. The main objective is to design the cutting edge technology: an UAV based solution for the purpose of active traffic management over a road network. The solution will be capable of providing real time video monitoring and traffic data collection on the road, starting with the simple vehicle counting, monitoring of traffic density, actual speed and acceleration, up to the vehicle number plate recognition. One of the specific and useful feature will be possibility to identify near accidents and collisions (identify dangerous behaviour of road users, slow moving traffic, stopped vehicles, traffic jam etc.).

Keep following our website and social pages to watch our progress (Twitter, Facebook, LinkedIn)!

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Planned features

Bounding boxes mockup

We wish to share a couple of interesting features that will be coming to DataFromSky soon. Currently, DataFromSky understands vehicles only as points. This is an outcome of using the particular technology which we chose. However, this results in one very important drawback: We can’t tell real distance between vehicles. Incidentally, we hope for many applications, which would need precise measurement of distances starting from the actual metal, not an ideal point. After this introduction, it should come as no surprise that we are working on detection of vehicle bounding boxes. This will enable much better distance measurement for safety evaluations.

Another improvement in the pipeline is addition of anonymization functions. As you can imagine, aerial recording in urban areas results in a lot of areas being exposed, while they are assumed to be hidden from sight. To protect privacy, DataFromSky will allow marking of areas for blurring or blanking.

We hope to add this soon, so stay tuned for new versions!

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New version of Viewer

We have a new version of Viewer! You can download it at the home page, or use this direct link. The list of differences includes a lot of things, so let’s take a look at them one by one.

Gate angular sensitivity illustration

Gate angular sensitivity

Gates can count objects, and filter them based on their type. When we had to cope with chaos on the road in both directions, we added directionality. But sometimes all objects come chaotically from all directions, such as pedestrians. What then?

We now added a new setting for gates, where it is possible to select the angles under which objects must come. If their direction falls outside this angular range, the gate will not register them. With this functionality it is possible to handle yet another level of chaos and uncertainty, should you chance to record such behaviour.

On the left is a mock picture of the concept. Both gates have directionality set. The entry gate (15) has angular sensitivity of 90 degrees and the exit gate (7) has angular sensitivity of 15 degrees. Without directionality, the cones that depict the angle ranges would be on both sides. Note that angle of 90° means a right angle on both left and right: A bi-directional gate with angle of 90° (both default values) in fact accepts 180° on both sides, or 360°, and does not discriminate at all.


Distance measurement

Now, DataFromSky Viewer users can measure exact distances between two or more points – even if there’s no road. This function is particularly helpful for a traffic engineer. To start using the new distance measuring tool, right click on any point on the image, and select “add point”. Then define another point on the image in the same way, and you will see the distance between them.

The precision depends on the quality of geo-registration procedure, but it is often better than 40 centimeters. The distances are showed in meters. You can also add multiple points to measure distances between them. If you make a mistake, select the point and move it on the right position.

Difference between detected and actual vehicle center

Vehicle center projection

This is not a feature of Viewer, but yet another good news, so here we go! We silently added this in the last months and forgot to mention it. We now project vehicle definition points onto ground. Typically, they lie in the visual center, but not actual vehicle center. This may not seem like much of a difference, but we missed somewhere between 0.2 to 1 meter that way! More importantly, this error is not homogeneous in any practical way, only for vehicles of the same height at the same place. Given that we meticulously correct for perspective and other factors, losing so much precision was not an option – particularly now that we started systematic work on precision and error quantification and improvement.

Improved load and playback speed

Speed is something that one expects naturally from modern computers and software. This is not always possible with lots of visual data, as in our case, but not always impossible either! Now that we are working on (and with) Viewer in earnest, we focused on speed as well. Believe it or not, but sending numbers to show in the old vehicle list turned out to be a drag. Another thing that ended up significantly faster was drawing all the lines, shapes, notes, boxes and texts on top of the video. Apart from this we changed a lot how the Viewer handles video under the hood.

We are confident that you will like how speedy the Viewer turned out, compared to how it was before!


Apart from the visible things, many bugs were fixed.

The default download link is for 64-bit Windows. If you need a 32-bit version, get this one instead.

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