Ekahau Offers Clear Visibility Into Real-Time Location Tracking With Eka...( First RTLS Application Using Rich In...),Health

First RTLS Application Using Rich Internet Applications Delivers Intuitive Web-based Graphical Interface Designed to Improve Asset Utilization and

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SARATOGA, California, March 17 /PRNewswire/ -- Ekahau Inc., a leading provider of Wi-Fi-based Real Time Location Systems (RTLS), today introduced Ekahau Vision, a web-based visual interface that enables enterprise users of Ekahau RTLS to automatically monitor the location of tagged assets and people in real-time. Similar to consumer mapping applications, Ekahau Vision is based on Rich Internet Applications (RIA), which results in a user friendly and consumer-like intuitive interface designed to significantly reduce training requirements for users that need to locate critical assets and staff.

"The launch of the Ekahau Vision significantly strengthens our application offering," said Antti Korhonen, president and CEO of Ekahau. "While Ekahau RTLS's superior positioning accuracy is an important enabling factor for several different location tracking use cases, the Vision application software is what finally turns the 'x' and 'y' location coordinates into a meaningful enterprise benefits and return on investment. The new Ekahau Vision follows the current trend of consumerization of enterprise IT applications and delivers an easy-to-use interface. No other tool in the industry offers the ability to monitor, query and collect asset data in such an easy and visual way."

When used in conjunction with the Ekahau Positioning Engine (EPE) - a software-driven location platform that enables location tracking over standard enterprise Wi-Fi networks - Ekahau Vision enables enterprises to identify, from any Internet-enabled device, the real-time and historical location of objects and individuals with building-, floor- and room-level accuracy. On its graphical map-based interface, Ekahau Vision delivers real-time information, including the location of assets, timestam
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