SkyRadar Blog

Air traffic control (ATC) is the backbone of modern aviation, ensuring safety, efficiency, and seamless coordination in increasingly crowded skies. As AI reshapes the landscape of radar systems, ATC academies must adapt their training programs to prepare Air Traffic Safety Electronics Personnel (ATSEP) for the challenges and opportunities ahead. The FreeScopes Environment offers a comprehensive AI training solution designed to future-proof ATC operations.

The integration of Artificial Intelligence (AI) in Air Traffic Management (ATM) is rapidly transforming the way airspace is monitored, optimized, and secured. However, for AI to be effectively implemented in ATC (Air Traffic Control) and ATSEP (Air Traffic Safety Electronics Personnel) operations, a centralized data and cloud architecture is essential. Without a scalable infrastructure, AI-driven solutions such as real-time traffic prediction, automated conflict resolution, and advanced system monitoring cannot operate with the required speed, reliability, and interoperability.

Learn how SkyRadar tools meet ICAO Doc 10057's ATSEP Surveillance Qualification Training requirements with hands-on learning for taxonomy levels 3 and 4.

This article explores ATSEP Surveillance Qualification Training under ICAO Doc 10057, emphasizing hands-on learning with SkyRadar's advanced tools.

As air traffic control (ATC) systems evolve, the integration of artificial intelligence (AI) is becoming critical to improving efficiency, safety, and decision-making. However, for AI to work effectively in air traffic management (ATM), a centralized data infrastructure and Service Monitoring & Control (SMC)-enabled applications are necessary. These technologies are not just reshaping ATC systems, but they are also transforming the roles and responsibilities of Air Traffic Safety Electronics Personnel (ATSEP). This blog explores the foundational role of centralized data and service-based architectures, and how AI will shape the future of ATSEP in the context of AI-enhanced ATC systems.

As global air traffic continues to increase, the complexity of managing airspace grows more challenging. To address these complexities, Air Traffic Control (ATC) systems are turning to emerging technologies such as Artificial Intelligence (AI), cloud computing, and cybersecurity to maintain safety and efficiency. Integrating these technologies is not just an opportunity—it is a necessity. This article provides an introduction to how AI, supported by robust cloud architecture and underpinned by strong cybersecurity measures, can transform ATC into a more scalable and secure system while ensuring compliance with data privacy regulations.

Artificial intelligence (AI) has significantly transformed many industries, including air traffic management. For Air Traffic Safety Electronics Personnel (ATSEP), AI presents an opportunity to improve daily tasks and processes, boosting efficiency, safety, and reliability. However, this transition necessitates a thoughtful and strategic approach to maintain the integrity of air traffic systems.

The 2024 Thales Cloud Security Study provides a comprehensive overview of the current trends and challenges in cloud security. This report is relevant for Air Traffic Safety Electronics Personnel (ATSEP) involved in securing cloud environments. In this article, we present the key findings and offer actionable insights based on the study.

SkyRadar's package for data processing and facilities is continuously growing. Watch the video example showing how to monitor signals and UPS devices with the SNMP protocol. You will also be introduced to simple control tasks. The simulator and DPR package allow to conduct many DPR and SMC exercises, as defined in the EASA Easy Access Rules (EU Regulation 2017/373).