Airspace object detection against UAV threat


Recent problem coming from the air - drone attack on oil stations in Saudi Arabia

With the latest drone attacks on oil production facility in Saudi Arabia, defence from UAV became an extremely hot topic. Whole world started actively discussing the problem, as sooner or later it can happen to anyone.And that involves not just businesses, but whole countries.


The main problem with all of the activity around the problem - it’s all seems to be a temporarily solution: US is sending their troops, countries start investigations, etc. However, nothing guarantees that something similar wouldn’t happen in the future. And the most scary part it can happen anytime. As time passes everyone will be forgetting about the problem which can open more possible threats. On the other hand, this problem caused a lot of debates in the tech industry. Tech experts say that the future of the security is in technologies and this is very good example where investments on early stages in such areas will save us from upcoming problems.

Here at Kma Tech we are constantly trying to solve global problems, in areas such as gov-tech or aerial data analysis. One of our recent solutions, Kma 9x9 is a very good example how innovations can make the world much more secure than it is now. We already applying this technology on governmental sector to predict any possible anomalies anomalies on the ground, by dividing the surface of the Earth onto 9x9 meter squares and analysing the data collected from different sources on every cell.

Kma 9x9 divides world on 9x9 meter squares to collect and analysed data inside each cell

Talking about emerging problems with UAVs, this technology gives us possibility to apply it for the airspace, which can go from the ground up to the stratosphere on any possible altitude. Kma 9x9 3D divides the airspace onto 9x9x9 meter cubes, where every cube holds data coming from various sources: imagery satellites, imagery UAVs, weather satellites and connected airplanes.

The concept of Kma 9x9 3D

Core solutions sit inside the data we collect and for that we use our latest algorithms which involve machine learning and artificial intelligence to detect every happening event, analyse collected data to find relationships, compare results with past datasets and detect anomalies happening in the airspace. Our neural networks already trained on data coming from the ground, which gives us a big advantage.


Going back to the threat from UAVs, the key fact about them is that usually they are autonomous and can fly on altitudes more than 1,000 feet. First gives them ability of being almost impossible to intercept. Second allows them to be extremely flexible and almost invisible to existing ground radars. And that is where satellites become very useful.

These days there is a big push from people like Elon Musk or Richard Branson over putting more satellites onto the orbit. Having more and more commercial satellites allows to use them in various purposes: putting imagery hig-res cameras to observe earth, or putting telescopes to investigate the space. Microwave Radiometers, Radars and Lidars are other sensors, which are also used on satellites to detect weather changes, which is another big topic recently.

All of that allows to use satellites very reliably by connecting to Kma 9x9 3D and observing different pieces of the airspace to detect unrecognised objects which can bring threats. There are existing companies such as DigitalGlobe, Maxar Technologies, Geocento, which use satellites with sensors and cameras ready to use for commercial purposes.


The challenge of Kma Tech is that there is no such a camera or radar which would cover all of the airspace in one go. For that we are actively working on ability to use several satellites and several cameras/radars same time to capture sets of 9x9x9 cubes before and after with a delay from 1 to 120 seconds (depending on accuracy level). That gives us ability to detect anomalies in every cube. Our algorithms afterwards allow us to connect all of the collected cubes and show the full picture of the whole observed airspace.


How objects are recognised by using weather sensors

Very self-explanatory example is that our system can detect a cloud and predict it’s normal positioning over time by using imagery and weather sensors on the satellite. However, if there is an object coming through this cloud, its structure is going to be changed, which will give the warning in our system.


This technology is one of the emerging solutions onto UAV problem. It goes without saying that from now it’s going to be much more investments coming into defence and security industries, which will be beneficial for everyone, as it will open much more possibilities for further developments.

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