For the five main identified risk domains, the SPID project aims at leading a technical-operational threat analysis, taking into account each sensitive site typology, each potential site to protect, various detection and neutralizations possible scenarios and finally analyze vulnerability of the proposed system. The project includes producing a demonstration system operating multiple types of sensors, with innovating sensors: acoustics, optronics, radio-goniometry. Sensors are fitted with built-in processing capability, connected in a network, they will broadcast data towards a central server designed to manage and store all communication data. The server will be able to assure data processing and fusion, to display toward the operator via MMI, real-time vision of the situation and access to all evidence data. A link will allow to forward all these data towards a command and control system, fixed or mobile governmental type or, towards a control room of the site to protect. The system allows surveillance and detection, target recognition and classification, and if possible, identification, geolocalization and tracking in order to neutralize the threat. The system will be operated and evaluated on capacitive and operational criteria according threat scenarios defined during the operational analysis, with real UAVs flights of fixed or rotary wings types. During these tests, operational capacity provided by radars will be also tested and a flight campaign will be arranged in order to invite industry to test their solutions in optronics, radar and other technologies. These tests will be defined in collaboration with a panel of users representing authorities involved in fighting against these threats as well as operators of industrial sensitive sites or vast sites receiving public (entertainment), in order to cover all kinds of situations. For the neutralization aspect, a state of the art study on technical and operational will be conducted for all possible solutions, with advantages and drawbacks of each solution. Radio-goniometry will be included in the tests to check its contribution in terms of neutralization of standard UAVs. Juridical and regulation aspects including sanitary, respect of individual liberty and private life, sociological and organizational aspects towards public community will be addressed by a study. SPID project will thus allow to define a first approach of an operational system providing all weather detection capability. Neutralization capability of non standard UAVs will be addressed later exploiting the best solutions deriving from the state of the art study. The goal consists in marketing an efficient alert system for an affordable price for the authorities and operators of numerous sensitive sites present in France, in a first step, and quickly after to market it internationally. This project represents for the SMEs members of SPID, as a platform to support their innovation to expand on new markets thanks to their excellent operational knowledge provided with the relation with the users who will validate the proposed solutions. The market study and the business strategy including scientific communication tools but also events dedicated to security professionals will allow to maximize the economic impact for the SMEs and obtain a direct benefit for employment increase. SPID members benefit already from a recognized knowledge and significant experience in security domain, the wide panel of end-users representing recognized units and SPID team demonstrate high technical value and a perfect match between partners.

The research interest for people faces identification, as part of judicial investigations, is well established and remains one of the key elements of success. However, the technologies used in uncontrolled conditions of shooting are still in their early stages of development and have yet to be improved and validated in real live test in order to make them fully operational. Given some recent progress, the recognition task is difficult because face images extracted from video-protection systems are poorly resolved, poorly lit and variably oriented. The PHYSIONOMIE project proposes to develop new tools of physiognomic recognition by: • improving the images of inquiry (pictures or video clips), • exploiting 3D face models to change the orientation of sought faces and then obtaining images with comparable exposures, • defining new similarity measures on partially comparable data (query and reference images are of different nature, presence of expression, occlusion, ...). The accuracy of biometric recognition algorithms depends on the quality of image acquisition and its overall performance depends greatly on the database size used. The creation of a 3D face images database of significant size would require a substantial time. Thus, PHYSIONOMIE will develop tools to build 3D face image models from anthropometric pictures. The validation of this approach will be done through 3D face models produced from low cost sensors such as stereoscopic smartphones, Kinect sensors, etc.., on face pictures acquired during the project. Physiognomic recognition tools will provide as a result a face list ranked in order of relevance, with the sought face that does not always appear at the first rank. Therefore, in PHYSIONOMIE, we propose to incorporate within the demonstrator intuitive and ergonomic capabilities of visual search to navigate through the results list. We will use the new similarity measures as well as soft biometrics (eye colour, presence of scars / tattoos ...) to navigate through the global database from one or more faces of the list returned. End-users, partners of the project, are willing to test and evaluate these tools. In this context, the project will measure the tool potential and will aim to evolve the similarity measure technologies for forensic identification. It will adapt the technology to operational needs, will specify the conditions of use and will measure the gain in efficiency. The possible deployment of a tool with PHYSIONOMIE features in operational services cannot be done without studying the societal acceptability of this technology and the project will conduct a qualitative and quantitative study in this area. Its findings will complement the technology and deployment roadmap, and will specify the contexts of use that are acceptable to society.