Need to perform operational analysis of a roundabout based on the real traffic data? DataFromSky supports the calculation of a wide range of operational parameters such as critical-gap time / follow-up time / critical headway etc. Get super accurate traffic data for your research and/or traffic study regardless of the type of intersection using DataFromSky.
Monitoring and analyzing traffic behavior at intersections and roundabouts is an important task in the present traffic research. Trajectory analysis provides higher-level situational awareness by understanding the behavior of every traffic element in the analyzed scene due to the rich information contained in its own motion. DataFromSky is able to extract trajectories and their spatial-temporal statistical characteristics automatically with very high accuracy and high sampling frequency. Accurate traffic data is essential in any modern research in the field of traffic analysis such as:
Motion pattern classification, Abnormal motion pattern detection,
Traffic mining, Prediction of non-recurrent short-term traffic patterns,
Developing next-generation driving behavior models, Trajectory clustering,
New perspective on merging behavior – gap seeking instead of acceptance behavior,
Evaluation of traffic simulation methods / models on real data, Capacity estimations,
Traffic congestion studies, Travel-time, Vehicle counting, Trajectory based analysis,
Road safety, Pedestrian and cyclist safety, Road-user interactions, Smart analysis,
Driver decision making and complex multi-actor interactions, Traffic instabilities,
Empirical evidence of multi-anticipation (drivers have multiple leaders),
Study of behavior adaptation effect.
Those of you who are following us regularly know that we are constantly working on improving and creating new possibilities of use for our DataFromSky Aerial Artificial Intelligence platform. DataFromSky can help to save lives not only in the transportation area, but also as a very powerful SAR (Search and Rescue) system!
We are currently developing a unique body recognition application – a software that recognizes human bodies from aerial pictures to find missing people much easier and faster. DataFromSky AAI Rescue system reduces the time required to rescue lost people or help with finding victims of natural disasters or some unexpected situations. Together with a greek UAV partner, we are working on the concept that can save lives in cases of natural disasters such as happened recently in the Greek resort of Mati.
Given the concerns inherent in large regions due to limited rescue distribution, UAV-based frameworks are a promising platform for providing aerial imaging. The primary role of such intelligent drone is to assist in search & rescue, structure and commercial building fires, wildland fires, and help document natural disasters while helping to find the victims faster! With a thermal imaging camera, there is a high chance to detect fires already at its beginnings and possibly to prevent a disaster.
An article about DataFromSky appeared in Czech e-magazine Svět-chytře. This online newsletter focuses on smart solutions in various areas, including smart businesses, smart cities and municipalities, or smart government.
The article itself describes DataFromSky as a solution, which is often used to determine the traffic situation and evaluate the existing infrastructure, whether it is sufficient or not. Do you need a safety study of a particular traffic junction? Do you want to know the capacity of the roundabout? Analyze peak hours and driver’s behavior patterns in these critical periods in busy road segments? Or monitor a risky behavior of drivers on highways etc.?
The combination of drone technology for data collection and advanced video processing tool – DataFromSky – assists many users such as government entities and road agencies for effective traffic monitoring and management, police forces for continuous, precise and inconspicuous surveillance of the traffic situation, traffic engineers and many others. Because small UAVs can provide very good situational awareness from the bird’s eye perspective, it can be used in several situations in traffic monitoring, surveillance and control.
Besides traffic, the list of potential uses of DataFromSky technology goes on and on. There is congestion monitoring during mass events, crowd control during the demonstrations and strikes, perimeter surveillance and much more.
As the article summarize, our AAI (Aerial Artificial Intelligence) uses deep neural networks that are trained on millions of shots from junctions of all over the world, including Mexico, United Arab Emirates, the United States, India and other countries of the world. The machine learning is an ongoing process and the ability to automatically analyze and detect the objects in the video is constantly improved. Thanks to that, DataFromSky analysis reaches the accuracy over 98,5 %.
For more information, read the full article (available only in Czech language).
Another great move and improvement of DataFromSky – take a look what the software is now capable of! We can detect and track people even in very crowded environment, reaching the accuracy of detection over 99 %!
The following video is a part of a project supported by EU programme Horizon 2020 called “Study of the individual and collective behavior of people in large-scale events”. The objective is to extract the trajectories of all individuals and to create a pedestrian behavior model for the crowded environment based on the real data from DataFromSky analysis.
This project opens new channels and brings other new possibilities in using DataFromSky in UAV monitoring:
– utilization in perimeter security – active and real-time aerial surveillance in mass events (sport events, concerts, parades, demonstrations etc.)
– detection of non-standard behavior, dangerous situations, suspicious gathering (in demonstrations and crowds)
– studies of pedestrians movement behavior and its patterns
and much more!
Keep a close eye on our website and social pages to follow our progress (Twitter, Facebook, LinkedIn and Vimeo)!
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.
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!
Recently, DataFromSky has performed traffic analysis of another video from United Arab Emirates, Dubai! This huge multilevel intersection in the middle of the arabic desert, which you can see in the video below, was a challenging task due to the large area covered and the weather and climate environment with very dusty and sandy conditions. The object of the analysis was monitoring of traffic behaviour in this vast area with traffic density reaching almost 8 500 vehicles per hour!
As you may see in the video, large area of one busy cloverleaf near the city of Dubai was analyzed – the average length of one trajectory in the video reaches 800 meters.
If you regurarly follow our website, you may know, that we are still working on development of mobile solution, which will be capable of collecting and analyzing traffic data in real time. This smart UAV analyzer will be a subsystem of Intelligent Transportation System (ITS). 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.
See also our latest video analyzed in UAE by clicking on this link.
New research paper called “How accurate are small drones for measuring microscopic traffic parameters?” published in Transportation Letters Journal can provide an answer. Adam Babinec, one of the main IT developers standing behind DataFromSky solution, co-author of the article conducted by University of Athens and Brno University of Technology, says:
„With this paper, we wanted to examine the potential of using sUAV as part of the ITS infrastructure as a way of extracting naturalistic trajectory data from aerial video footage from a low volume intersection and a pedestrian passage. Moreover, we have examined the accuracy of speed data collected from a drone compared to data collected from an On-Board Diagnostics II (OBD-II) device.”
The results show, that the distortion correction and calibration phase of the video are of crucial importance for high level of accuracy, in terms of stabilizing and geo-referencing the video. In order to extract accurate data from drone video footage, each aerial video must be stabilized to compensate for camera movement, since sudden vibrations or small wind gusts can lead to large errors on the ground.
Picture: a lightweight hexacopter (left), study area – low volume intersection in University of Athens campus (right)
The research paper is accessible on this page.
The accuracy of DataFromSky system itself was examined in another research paper, created in collaboration with Faculty of Information Technology and Faculty of Civil Engineering at Brno University of Technology and posted in International Journal of Transportation Science and Technology, for more information click here.
Our team attended the event called “Industrial Day”, held between 21. and 22. 7. 2017 in local airport of Přerov. We presented our work and capabilities at the seminar on “UAV/UGV and its use in Security”, an event dedicted to introduction and presentation of cutting edge technologies to support the use of robotic and unmanned systems in the development of Intelligence Surveillance Reconnaissance (ISR) capabilities for the Czech Armed Forces. We demonstrated our technology DataFromSky for tracking the moving object in the aerial video data and also our project related to perimeter security with a drone.
The event has been organized and supported by Ministry of Defence of Czech Republic, in cooperation with the Department of Industrial Cooperation and Organization Management (SPSŘO), LOM PRAHA and the Association of Defence and Security Industry (AOBP).
We are delighted, that our solutions have attracted many participants of the event and that we have met with a very positive feedback!
We are happy to announce that we have succeeded with our proposed project and get supported in Programme Epsilon 2 conducted by Technological Agency of Czech Republic:
System for Preemptive Safety Analysis of Road Network Nodes and Traffic Flow
The aim of the project is development of a preemptive quantitative system for analysis of road network nodes in terms of safety. The system will be
based on analysis of time-space information about each individual traffic member. The information will be automatically extracted with high precision
and frequency from video data collected by UAVs. The trajectory data extracted from video will be analyzed in terms of traffic safety, based on
detection of non-standard and aggressive behaviour, conflict situations, incomfort during passage etc.