Our partner Roelofs has made an analysis with DataFromSky for a big junction in the city center of Brussel, Belgium. The analysis covers the junction between the Leopold II Lane and Sainctelette – one of the biggest and most complex junctions in Brussel. In this case, the video is made by a tethered drone to get a longer survey. Thanks to DataFromSky, it is possible to create a detailed traffic study which was handled to the government of Brussel and its Mobility department, providing the correct data for creating solutions that can improve the traffic flow and safety of this junction.
DataFromSky Aerial analysis is providing complete and detailed telemetry data about each traffic participant:
complete object trajectories (time, position, speed, acceleration in coordinate system UTM or WGS84) – visualization in program or various exports
classification of all objects into 7 main categories (including bicycles and pedestrians)
vehicle counts via configurable counting gates
detailed OD matrix and turning movements count in defined directions
speed and acceleration anywhere in the scene, heatmaps
measurement of critical headway (gap) and follow-up headway
safety analysis (Time to collision measurement, PET, Heavy breaking etc.)
and much more!
Do you want to use DataFromSky project in your project? Contact us with your query!
ROELOFS, an exclusive partner of DataFromSky in the Netherlands, carried out comprehensive traffic research of a traffic node in the province of Gelderland. The data collected with a drone and analyzed by DataFromSky Aerial platform will be used as the main source for a study for planned major maintenance in 2021.
The drone was deployed at the roundabout of the N318 Misterweg in Winterswijk. When preparing for the major maintenance of this road, it is also being examined whether road safety can be improved. Besides other things, DataFromSky offers many great features for analysis of traffic behavior and road safety, including analysis of risky situations or near collisions, calculation of Time to Collision, Heavy Breaking and analysis of many other factors.
For many years, the data were collected by people standing on the side and observing the traffic, then the data were evaluated manually. This process was lengthy, inefficient, and had low-precision data output. All of these shortcomings are overtaken with a new modern approach combining 2 great technologies of today world: drones and AI.
Traffic flow – trajectories: green – cars, yellow – heavy vehicles, red – bicycles, blue – pedestrians
Read a post in “de Gerlander” online magazine.
The whole team of DataFromsky is happy to announce that the Technological Agency of Czech Republic has supported our project in the international programme “Delta”. We have succeeded with a project called “Traffic management platform development for big social events using a drone based on visual sensing techniques”.
The aim of the project is to develop an aerial artificial intelligence – a comprehensive mobile platform for real-time monitoring of traffic and big social events, using a UAV and advanced methods of computer vision based on artificial intelligence. The goal of is to develop a fast-deployable system for real-time surveillance of the defined area with automatic object recognition and classification, monitoring and automatic motion evaluation. Extracted image data will be analyzed in order to detect some nonstandard behavior, congestion, zone disturbance, and other user-defined parameters. Traffic data will be used for the immediate evaluation of traffic using simulations. The system has a high potential of being deployed in the traffic monitoring segment (police drone) or in a security field.
The novelty of the solution is in the implementation of intelligent UAV, which will provide information about moving objects during the flight operation, and interpret this data in the context of a particular application. This highly mobile platform is used wherever it is necessary to analyze the real-time situation.
The project is a multidisciplinary task that combines the latest trends in mobile robotics (UAV), computer vision, and automated telemetry analysis. The system will be integrated into a higher unit to evaluate traffic situations and traffic plans based on simulations.
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!