Home » GainSpan selects Green Hills Software for Wi-Fi Sensor network
GainSpan selects Green Hills Software for Wi-Fi Sensor network
05/20/2008
Santa Barbara, Calif., — May 19 — Green Hills Software today announced that GainSpan Corporation, an innovator in Wi-Fi sensor network technology, has selected the company’s µ-velOSity real-time operating system, GHNet TCP/IP stack, other integrated middleware and the MULTI integrated development environment as the real-time control and communications development platform for its ultra low-power system-on-a-chip (SoC) solution, the GS1010.
GainSpan provides Wi-Fi semiconductor and software solutions that enable sensors and other devices to run up to 10 years on a single AA battery. This allows users to leverage the global Wi-Fi standard, existing tools and knowledge investments for new applications, such as temperature monitoring for energy management, building automation, condition monitoring for industrial equipment in manufacturing plants or cold storage systems which house critical medical supplies or perishable food.
“We selected Green Hills Software’s operating systems and development tools because of our steadfast commitment to provide proven, reliable and efficient technologies for commercial, industrial, healthcare and other target markets,” commented Vijay Parmar, president and CEO, GainSpan. “By utilizing Green Hill’s operating system, we can now offer a complete end-to-end solution which enables us to empower our customers with a robust, cost-effective application development platform that exceeds their expectations.”
“GainSpan’s GS1010 integrates dual ARM cores, the latest in Wi-Fi technology and a plethora of other I/O capabilities into a single ultra low-power SoC,” commented David Kleidermacher, CTO, Green Hills Software. “µ-velOSity was designed precisely for applications like this. We’re proud of GainSpan’s decision to use Green Hills Software for its development and to enable its end customers to deploy cutting edge products to market faster and at the lowest possible manufacturing and development cost.”
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