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Quickly Processing Visual Data Could Help First Responders in Disaster Scenarios

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fireby Angela Guess

A new release out of the University of Missouri reports, “In natural or man-made disasters, the ability to process massive amounts of visual electronic data quickly and efficiently could mean the difference between life and death for survivors. Visual data created by numerous security cameras, personal mobile devices and aerial video provide useful data for first responders and law enforcement. That data can be critical in terms of knowing where to send emergency personnel and resources, tracking suspects in man-made disasters, or detecting hazardous materials. Recently, a group of computer science researchers from the University of Missouri developed a visual cloud computing architecture that streamlines the process.”

Prasad Calyam, assistant professor of computer science in the MU College of Engineering, commented, “In disaster scenarios, the amount of visual data generated can create a bottleneck in the network… This abundance of visual data, especially high-resolution video streams, is difficult to process even under normal circumstances. In a disaster situation, the computing and networking resources needed to process it may be scarce and even not be available. 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.”

The article goes on, “The research team, including Kannappan Palaniappan and Ye Duan, associate professors in the Department of Computer Science, developed a framework for disaster incident data computation that links the system to mobile devices in a mobile cloud. Algorithms designed by the team help determine what information needs to be processed by the cloud and what information can be processed on local devices, such as laptops and smartphones. This spreads the processing over multiple devices and helps responders receive the information faster.”

Read more here.

Photo credit: Flickr/ Eggs&Beer

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