Live News

The live news use case is motivated by the fact that timely sensor-based access to information in the urban environment can be particularly important for news agencies. Hence, a news agency could ask the SMART search engine questions regarding the occurrence and evolution of certain events, i.e. “What is happening now?”, “Which places are crowded?”, “What are the specific trends in the city?”, “Where are riots and fights happening?” and more. The answers to these queries will be provide in the form of multimedia streams mixing multimedia data acquired from the physical world (i.e. sounds/images) along with textual data stemming from sensors and metadata steams (including social networks). Using the presentation layer capabilities of the SMART framework (e.g. reusableWeb2.0/Web3.0 mashups) news providers could build, integrate and populate web sites, wikis, blogs or news portals with news/information stemming from the underlying sensing infrastructure. The live news use case will enable end-users to create personalized social news portals containing dynamic life information from sensors deployed within a smart city. End-users will be able to assemble a dynamic news portal, based on a set of queries to the SMART engine and associated mashup components for visualizing them on the portal. Live news applications could typically include correlated queries under a thematic umbrella.

Objectives

Create a container for local News and general information about Santander using:

• Automatic event extraction by processing the streams from the deployed sensors.
• Social networks conversation, including user comments on Eskup
• City hall events agenda
• Breaking news from Eskup (from the ElPais Eskup’s journalists)
• News coming from other local news RSS feeds

Security

The security and surveillance in urban environments use case is motivated by a number of witnessed tremendous terrorist attacks in urban environments during the last decade (e.g. the collapse of New York’s Twin Towers (2001), the bombing of packed commuter trains in Madrid (2004), as well as the London bombings (2005)). These events have led modern cities to deploy numerous sensors (notably cameras) for security purposes. Nevertheless, in such sensor saturated urban environments, it has become difficult to manually observe the sensor streams. SMART can offer a viable and cost effective alternative through enabling the answering of targeted queries, based on sensors and sensor processing algorithms that fulfil certain criteria. The objective is to detect people and/or scenes that could be considered as suspicious across certain times and urban locations. The security and surveillance use cases will leverage sensors’ information and AV processing of environment generated content streams with a view to creating wider surveillance applications for the urban environment. The applications will be built as compositions of multiple queries to the SMART search engine, which can facilitate the issuance of alarms.

Objectives

• Change detection (abandoned objects)
• Recurrent permanence or passage of a person in a specific place
• Monitoring of isolated places
• Social network for civilization
• Face recognition in big critical events