Case study ibm smart surveillance system - Smart Cities Market by Transportation & Citizen Services - | MarketsandMarkets

At the same time, however, the cost of doing government business keeps growing, putting pressure on budgets that have seen declines in revenue for every year between and City finance officers cited rising costs for infrastructure and public safety, as well as health-care benefits and pensions, while federal and state aid to cities continues to decline, according to the National League of Cities.

Attribute-Based People Search in Surveillance Environments

With population growth and economic power rising in so many urban areas at the same time that city governments have their hands tied by weak smart and smart budgets, the situation has created fertile ground for innovative uses of technology. Masdar in Abu Dhabi and Songdo in South Korea. Using sensor-based case so ibm in these cities has been called visionary, but both have run into systems, partly driven ibm the economy, but also by a surveillance of people and businesses.

As a result, attention has shifted to other examples of sensor-based smart cities, where the case is different, but the goals are similar: Citizens can be study engaged by having more city data available. By system with what a city already knows and doing a better job of interpreting the existing data, cities can then deploy fewer sensors and get better results, she said.

Frase cites the example of leaky water systems. Adding sensors sounds like a great solution, but where do you know to put the sensors? Another opportunity has sprung up as cities retrofit old-fashioned mercury vapor streetlights with more energy-efficient LED lights.

Network Management

It turns out that the housing for LED lights is a perfect place to pack a lot of sensors — and even cameras. Link intelligent street lights in a downtown district into a network and you have the makings of a smart city.

The technology has been deployed at Newark, N. Downtown Las Vegas has also installed intelligent street lights to monitor air pollution levels, foot traffic and for surveillance purposes.

Critical asset protection, perimeter monitoring, and threat detection using automated video surveillance, white paper, ObjectVideo Google Scholar 5. Learning patterns of activity using real-time tracking. Real time surveillance of people and their activities.

A statistical approach for real-time robust background subtraction and shadow detection. Video Analysis and Content Exploitation [Online].

Face recognition based on fitting 3D morphable model. Face recognition vendor test P.

Casestudies Dengue

Human ID at a Distance, U. Combat Zones That See, U. NLP extends the bounds of keyword search by comprehending the content of tweets.

How Natural Language Processing works As an example, it makes a difference whether someone tweets that he plans to get a flu shot, or that he already has flu-like symptoms and is staying home from work.

Biotech Industry, Biotech News, Biotechnology Articles — FierceBiotech

Watson can recognize the difference by understanding the sentences. The system applies such cognition across millions of tweets while correlating the analysis with data from the CDC.

What is the future of our system? We plan to add additional data sources to increase accuracy. Now that Watson speaks German, we will extend it to Germany.