Alternative Vision toolkit for smart cameras allows access to 500 vision tools

May 14, 2011
The Antares engine toolkit gives LabVIEW software developers access to nearly 500 Antares vision tools, giving them the ability to implement vision systems with any Tattile smart camera or image analyzer.

The Antares engine toolkit gives LabVIEW software developers access to nearly 500 Antares vision tools, giving them the ability to implement vision systems with any Tattile smart camera or image analyzer. A User Datagram Protocol (UDP) over Ethernet technique assures compatibility between smart vision hardware and all other equipment supported by LabVIEW.
Alternative Vision Corp.
Tucson, AZ

[email protected]

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PRESS RELEASE

Tattile srl announces new Antares Engine Toolkit for smart cameras
Programming environment supports LabVIEW from National Instruments

Tucson, AZ, November 23, 2010 – Tattile srl is pleased to announce the first release of its new Antares Engine Toolkit for LabVIEW. Demonstrated at the recent Vision 2010 show in Stuttgart, Germany, the new Antares Engine Toolkit will give LabView developers access to nearly 500 Tattile Antares vision tools.

“Developers who are familiar with the LabVIEW environment can now implement vision systems with any Tattile smart camera or image analyzer,” explains Umberto Isoli, CEO of Tattile. “With this new toolkit, users can now develop and deploy vision applications for the Antares Engine using only LabVIEW.”
Tattile evaluated several off-the-shelf APIs and selected LabVIEW only after the company determined that LabVIEW would maintain the integrity and flexibility of Tattile’s product lines.

To develop the Antares Engine Toolkit, Tattile collaborated with ImagingLab srl, a company known for its vision, robotics and LabVIEW expertise. The key to the integration of LabVIEW and Antares is the use of the UDP (User Datagram Protocol) over Ethernet, a technique that assures compatibility between Tattile smart vision hardware and all other equipment supported by LabVIEW.

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Posted by Lee Mather

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