All around the world, organizations and agencies deploy video surveillance to monitor and protect property and public infrastructure, driven by various factors like increasing crime rate, security threats, terrorism acts and even monitoring of law enforcement. The influx of surveillance footage from a growing number of cameras operating at higher resolutions, such as HD, coupled with the desire to increase the retention time of that footage is exploding the volume of the footage available. Organizations that have invested heavily in surveillance infrastructure are keen to exploit it for the automation of surveillance procedures using video analytics solutions. SURVANT will deliver an innovative system that will collect the relevant videos from heterogeneous repositories, extract video analytics, enrich the analytics using reasoning and inference technologies, and offer a unified search interface to the user. An intuitive interface with a relaxed learning curve will assist the user create accurate search queries and receive the results using advanced visualization tools. Ethical management of personal data collected from surveillance videos is integrated in the system design. SURVANT is the follow up of the research project ADVISE (GA 285024), co-financed by EU in the FP7 Work programme in the SEC-2011 call. It intends to market uptake the results achieved in ADVISE and prove the final system at operational environment (TRL9). The market opportunity has been confirmed during the ADVISE project demonstration workshops, where end-users were enthusiastic about the functionality of the prototype presented and some initial interest for purchasing the system was declared. Law Enforcement Agencies (LEAs), critical infrastructure operators and private security organizations are the primary market targets of this action. However, SURVANT pleads to explore new markets that share common needs.

There is widespread agreement across police authorities, policy makers and the academic community that the video gaming ecosystem plays a substantial role in the process of radicalization. However as yet there is no compelling evidence base to understand how the process takes place, or the best measures to prevent the radicalization process. Games as a Multi-layered Security Threat (GEMS) is an interdisciplinary, mixed-method and cross-sectoral project bringing together academic researchers, AI specialists, policy experts and a range of police authorities from across Europe in order to address this challenge. Co-creation of knowledge with a comprehensive end-user engagement is the fundamental principle of GEMS. The main aims of GEMS are: 1) to contribute to a scientific advancement of the field of radicalisation and violent extremism by developing a new academic field of Sociology of Gaming and Radicalisation; 2) to provide EPAs with a novel Training Curriculum and an innovative tool, the Watchtower (a future-proof AI platform trained to recognise and prevent the spread of extremist content and recruitment in the online gaming space); 3) to create a new cross-sectoral collaborative network dedicated to countering extremist presence in the gaming ecosystem – European Networks Against Gaming-Related Extremism (ENgaGE); and 4) to develop an effective Citizens Awareness Campaign and evidence-based Policy Solutions which will greatly improve high level decision making, empower citizens and enhance youth protection. These aims will significantly contribute to the fight against the rapid spread of extremism in the online gaming spaces and lead to a secure cyberspace.