Gun violence and the reckless use of firearms have been a pervasive and growing problem in the United States, especially in low-income communities and communities of underrepresented minorities. The problem has only become exacerbated by increasingly permissive gun control laws, easy access to firearms, and an increasing mistrust of law enforcement that often inhibits reporting by the community.
Air pollution is one of the most important factors affecting the quality of life and the health of the increasingly urban population of industrial societies. In the U.S., all major cities have networks of monitoring stations providing continuous measurements of the most important pollutants. However, the number of these stations is usually very small. Furthermore, currently the data of the different pollutants measured at the different stations in the city are aggregated to a single number, the air quality index (AQI), that is published once a day on a website.
Recent advances in information, micro-scale, and embedded vision technologies are enabling the vision of ambient intelligence and smart environments. Environments will react in an attentive, adaptive and active way to the presence and activities of humans and other objects in order to provide intelligent/smart services. Heterogeneous sensor networks (HSN) with embedded vision, acoustic, and possibly other sensor modalities is a pivotal technology for the realization of these systems.
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Originally, the Network Embedded Systems Technology was a DARPA funded project dealing with middleware services and novel applications of Wireless Sensor Networks (WSN). Today NEST is an umbrella project encompassing different ongoing research activities in the WSN domain.
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