The SMACS project, led by OTONOMY Aviation and VICOMTECH, aspires to conceive a camera-based prototype solution for digitalized on-demand verification of TTL requirements for cabin luggage. It will be designed to be highly reliable, cost effective and easy to upgrade, with potential additional camera-based verification services. To fulfil this ambition, the consortium will capitalise on 3 main pillars: - A robust Machine Learning algorithm for cabin luggage recognition in low light and low contrast environment that will be built from VICOMTECH’s AI libraries and specific developments - A highly innovative way to produce learning dataset based on videos coupled with synthetic 3D models - An aircraft compliant, ultra-light, ultra-compact Image data processing hardware based on COTS, with highly adaptable CVMS interface connection capabilities. VICOMTECH brings to the consortium its large experience and proven competencies in developing machine-learning based algorithms, notably for object recognition, and its rare and precious capacity to train algorithms from synthetic 3D models to reach higher performances at unmatchable costs. OTONOMY Aviation brings to the consortium its deep knowledge of aeronautic compliant camera systems and camera implementation in aircraft cabins. Moreover, OTONOMY’s strong relationship with major actors of the ecosystem such as Airbus Interiors Services permitted to get a highly realistic synthetic model of an A320 aircraft that will be used for the algorithm training. The SMACS project will generate new technology breakthrough for the use of IA in aeronautic and will bring new safety-related solutions to other sectors such as public transportations (trains, buses etc.). It will also enable OTONOMY to introduce smart IA-empowered cameras in the aeronautic ecosystem, opening new and various opportunities for aeronautic competitiveness, safety and ecology. The derived products will generate an additional turnover of 10M$/year.

The TransSec project addresses a new danger in European countries, the increasing number of terror attacks. Recent terror attacks with trucks in Nice and Berlin have shown drastically the damage a heavy truck can cause, how easy it is to misuse a truck for attacks and that newest safety systems cannot prevent these attacks. As a consequence road transport safety has to be supplemented by road transport security. TransSec aims to initiate the development of this Security Truck. The project objective is: Development and evaluation of systems built-in or to be used by trucks for secure road transport of (dangerous) goods. Preventing trucks and transport of goods to be misused for other purposes such as terror attacks. Specific objectives are: • Precise vehicle positioning and navigation on road (lane) and off road • Vehicle movement monitoring for dangerous goods with critical area alarm/eCall • Vehicle communication security for critical information exchange • Onboard precrash environment detection of vulnerable objects on/ off road • Non-defeatable autonomous emergency manoeuvring for crash prevention on/off road The implementation is done in an explorative and incremental development cycle with early prototypes adding functionality step by step. Demonstrations with a truck on and off road will show solutions after 12, 24 and 36 months. Testing and pilots on public roads and public areas will prove a higher level of security.