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Visual Cloud Computing Methods Could Help First Responders in Disaster Scenarios


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Credit: Sunflower

Researchers at the University of Missouri (MU) have developed a visual cloud computing architecture that streamlines the process of analyzing visual electronic data. The researchers note such data can be critical in terms of knowing where to dispatch emergency personnel and resources during a natural disaster. "We are working to develop the most efficient way to process data and study how to quickly present visual information to first responders and law enforcement," says MU professor Prasad Calyam. The new framework for disaster incident data computation links the system to mobile devices in a mobile cloud.

The researchers developed algorithms that help determine what information needs to be processed by the cloud and what information can be processed on local devices. They say this technique spreads the processing over multiple devices and helps responders receive the information faster.

"This is a natural way of compressing visual data without losing information," says MU professor Kannappan Palaniappan. "Clever algorithms help determine what types of visual processing to perform in the edge or fog of the network, and what data and computation should be done in the core cloud."

From University of Missouri
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