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Siemens Launches EagleVision Video Detection Systems for Traffic Control

 
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5 Aug 2007

Siemens announced the official product launch of EagleVision, Siemens new video detection system for traffic monitoring and control for the North American market. EagleVision will debut at the 2007 Institute of Transportation Engineers (ITE) Annual Meeting and Exhibit in Pittsburgh 5 to 8 August.

The advanced technology used to develop the new EagleVision video detection camera ensures reliable and functional monitoring of intersection vehicle progression. The new EagleVision system was designed to eliminate the costly installation and maintenance of traditional in ground loop detectors. It is a low-cost solution requiring no additional hardware or manpower to commission and install the system.

Siemens Launches EagleVision Video Detection Systems for Traffic Control

Once the camera has been mounted, users have the ability to isolate and focus on a specific section of the viewing area via the computer interface, eliminating the need to return to the physical camera for target adjustments. Users can view and control the system remotely via Ethernet or LAN connection on any PC, handheld or other wireless device. System data can also be accessed remotely. Additionally, EagleVision is coupled with a completely OS independent Java user-interface.

"Accurate and reliable vehicle detection is the cornerstone of safe and smooth traffic operation," said Steve Rauch, General Manager of Siemens Intelligent Transportation Systems in the U.S. "Siemens' EagleVision addresses the challenge of managing traffic situations with fewer resources by delivering the most advanced detection system available to date. Smooth moving traffic helps reduce accidents, improve fuel mileage and reduce emissions."

Additional features of the new EagleVision system include eight detector inputs and eight detector zones per camera with color video and advanced detection capabilities. The systems advanced technology also offers a solution to false video detection, missed calls, shadowing, reflection and glare, and 'ghosting' images that have long plagued previous video detection systems.



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