SkyRadar Blog

Radar has become a key sensor technology in automotive, medicine, automation, and - of course - in air traffic control and homeland security. New skills are needed to make it a success. But still curricula are dominated by dinosaur concepts like phased array, chaff clouds, jamming and electronic counter measures. Hey, let us bury that. And let us educate responsible members of our society to build a peaceful future. We need no backward oriented half-educated dummies, who are an easy prey for ruthless leaders. An appeal ...

The recent crash of Ukrainian Airlines Flight 752, downed by a surface-to-air (SAM) Iranian missile after a tragic human error from a military RADAR operator underlines dramatically the need for ADS-B, combined with automatic computer-based recognition of RADAR targets.

In November 2019, the World Wide Web Consortium published a contract for the Web, motivating governments, companies and citizens to join forces and strive for a respectful, affordable, democratic and open Web, for the best of every citizen. SkyRadar endorses this and is specific in its commitments.

Artificial Intelligence is starting to become a game changer in Aviation. In this article we look at its expected impacts on radar technology and describe SkyRadar's solutions to qualify ATCO and ATSEP on applied AI.

We started SkyRadar.com more than 10 years ago. We were driven by the idea of blending radar and Web technology. Our idea was to bring radars to unknown performance, all while bringing costs down to the bottom-line. Now we are adding medical applications, robotics, AI and industrial applications. And it is just the beginning...

8.2 Billion Air Travelers in 2037 if policies remain constant, but with a policy stimulus we will crack the 10 billion passenger line. How can aviation infrastructure grow, how can air traffic control infrastructure keep pace and how can we make sure we will have enough, and sufficiently trained personnel?

The aviation industry is a prime example of a sector that should be eager to adopt the new eIDAS enabled tools and services. The industry has a large volume of identity checks to perform, these checks are very time-sensitive and cost intensive and all of this has a direct impact on customer experience.

Technology is always changing. A large percentage of it will make our lives easier by enhancing how we learn or go about our daily jobs in ways that were never thought before. Artificial intelligence and machine learning stand at the forefront of technology’s future, including their use in radar technology. The purpose of this article is to define what AI and machine learning are, how they relate to each other and what their role may be in radar technology.