Aerial photography and filming represent an indispensable resource for the Creative Industries (CIs). When filming in indoor environments, auxiliary devices as cable cams, camera rails, jibs, scaffolds or lifting platforms are being employed, enabling to realize special aerial camera shots. With the rise of Remotely Piloted Aircraft Systems (RPAS), commonly known as drones, CIs are increasingly focusing on its use outdoors, providing significant advantages over current photography and filming techniques such as widening the creative possibilities and freedom of camera movement, less invasive and risky compared to auxiliary devices and affordable. However, RPAS cannot be professionally employed indoors by the CIs. Existing RPAS lack of a precise, robust and affordable indoor positioning system (IPS) as well as advanced safety features. Without a good IPS the control of the RPAS in indoor environments is particularly difficult and even unsafe. Currently, there are three IPS suitable for RPAS, but these are too expensive (€200k), or present large limitations (e.g. sensitive to light conditions) for its usage by CI SMEs. This jeopardizes the creative possibilities of CI and their competitiveness. Hence, the main goal of AiRT project is to provide the European CI SMEs a tool that, by expanding their creative spaces will help them to offer new services, which in turn will increase their changes to grow within the European and international market. To accomplish this objective, AiRT project will develop the world´s first indoor RPAS specifically designed for professional use by the CIs. As a result, over 900.000 European CI firms will benefit from the transfer of the latest advances in IPS, 3D scene reconstruction, navigation and active / passive safety measures into an intelligent indoor RPAS, being able to avoid both static and dynamic objects. In addition AiRT system could be programmed in order to fly autonomously, enabling the CIs to focus on the camera control.

Artificial Intelligence has become a major innovative force and it is one of the pillars of the fourth industrial revolution. This trend has been acknowledged also by the European Commission that has already pointed out how high-performance, intelligent, and secure networks are fundamental for the development and evolution of the multi-service Next Generation Internet (NGI). While great progress has been done during the last years with respect to the accuracy and performance of AI-enabled platforms, their integration in potentially autonomous decision-making systems or even critical infrastructures requires end-to-end quality assurance. AI@EDGE addresses the challenges harnessing the concept of “reusable, secure, and trustworthy AI for network automation”. In AI@EDGE European industries, academics and innovative SMEs commit to achieve an EU-wide impact on industry-relevant aspects of the AI-for-networks and networks-for-AI paradigms in beyond 5G systems. Cooperative perception for vehicular networks, secure, multi-stakeholder AI for IIoT, aerial infrastructure inspections, and in-flight entertainment are the uses cases targeted by AI@EDGE to maximise the commercial, societal, and environmental impact. To achieve the goal, AI@EDGE targets significant breakthroughs in two fields: (i) general-purpose frameworks for closed-loop network automation capable of supporting flexible and programmable pipelines for the creation, utilization, and adaptation of the secure, reusable, and trustworthy AI/ML models; and (ii) converged connect-compute platform for creating and managing resilient, elastic, and secure end-to-end slices capable of supporting a diverse range of AI-enabled network applications.