SMACS will conceive a camera-based prototype solution, validated in relevant environment in the CleanSky2 Integrated Cabin Demonstrator, for digitalized on-demand verification of Taxi, take-off and Landing for cabin luggage.
The ambition of SmaCS is to develop an automated system that will incorporate AI-based technology for digitalized on-demand verification of Taxi, Take-off and Landing (TTL) requirements for cabin luggage to help the crew in handling safety procedures. The system will particularly address the optimal installation in aircrafts, paying special attention to important aspects such as the responsiveness, robustness, power consumption, maintenance, scalability, upgradeability, compatibility with the international aviation regulations, adaptability to any kind of cameras already installed on a plane, etc. Furthermore, in order to reduce the total cost of the system the relation between number of cameras and processing modules will be maximized.
In SmaCS the data used for training the AI-based technology will optimally combine real and synthetic annotated images with a high variety of situations and visual appearances of passengers, luggage and cabin components. Sophisticated synthetic-to-real domain adaptation techniques will be developed to generate data of better quality specifically designed for the considered scenarios, overcoming the lack of suitable data to train a tailored image content descriptor.
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Innovative architecture combining low cost processors attached to embedded cameras, maximizing the area covered to obtain an efficient and minimized solution for on demand TTL verification.
Novel approach to develop a Deep Neural Networks – DNN technique based on Data generation for algorithm training and DNN design and adaption for maximizing the object detection and its location.
DNN algorithms will be trained specifically to detect and localise objects in the specific domain of an aircraft; inference technologies will allow to deploy the designed software (SW) into embedded HW.
Validation in the cabin mock-up provided by the Topic Manager, in laboratory conditions and in simulations with different types of aircrafts.
Scientific and industrial sector specific dissemination will be undertaken by the project.
The project plan is divided into eight technical work packages, supplemented by the Management, to allow focusing on a set of specific innovative aspects in each of the work packages.
Is a rank one supplier aeronautical equipment supplier that designs and manufactures high definition optronic systems for business aviation. This equipment supports different service offers:Ground control security: On board intrusion control system and ground collision detectors In flight comfort: with high definition and ultra-high definition cameras that stream during the flight.Organized in multiple divisions of excellence (Engineering, Certification, Project Management, Supply Chain, Quality, Manufacturing, Marketing and After Sales), Otonomy Aviation is responsible for all processes from beginning to the end. As a zero-defect culture team, OA supplies the most reliable and efficient systems for client’s satisfaction. Otonomy Aviation has a permanent team of engineers and PhD’s exclusively dedicated to research, development and qualification. The entire range of products thus has all the certifications and international certifications that are essential for commercialize and reference the products.Otonomy Aviation has developed a fully owned hardware design and software design for an HD camera (externally and internally mounted).
Vicomtech is an applied research centre for Interactive Computer Graphics and Multimedia located in San Sebastian (Spain). It is a non-profit foundation, stablished in 2001 as a joint venture by the Fraunhofer INI-GraphicsNet Foundation and the EiTB Broadcasting Group. The role of Vicomtech in the market is to supply society with technology by transfer of primary research to industry through collaborative RTD projects. Vicomtech’s main research lines lay in the fields of multimedia, AI, computer graphics and interaction technologies, which Vicomtech applies in multiple sectors. Vicomtech has researchers with a strong experience on several fields of ICT, especially in Communications, Multimedia and Visual Computing. Due to the direct contact to several industries from different sectors (Engineering, Transport, Medical, etc.), the researchers are experts in bringing innovation to the companies with the latest advances in research.The main team involved in the project is the Intelligent Transport Systems – ITS and Engineering department. The department applies Machine Vision, Advanced Display Systems, AI, Knowledge Engineering and Advanced Algorithm technologies to the industrial sector in general and the transport sector in particular, providing the sector’s companies with technology solutions (ITS).
The SmaCS architecture is composed of processing blocks with:
The camera installation throughout the cabin environment will be a crucial aspect of the solution. Depending where installed, the perspective of the scene will vary together with the existing spaces between seats (i.e. there is more space in front of emergency exit seats). The 3D simulation technology will be also applied to research on the best option for the installation of the cameras. Accounting with various highly realistic 3D models provided by OA, SmaCS will analyze and determine best and costless position of each component of the solution.
SMACS will create a representative and well-sized data-set to train the AI algorithm in object recognition. The problematic raised by this topic is that such data-set is currently inexistent, and its acquisition will be challenging in terms of manpower, resources and the complexity of each possible situation. The knowledge of the consortium in machine-learning will allow to apply an innovative pedagogical methodology for the aerospace industry on this regard. The SmaCS solution relies on the combination of existing AI library and 3D simulation data to face all potential situations and to improve the accuracy of the algorithm.
The following are the main components of the technological advances in SmaCS:
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