Data Translation ships DT3162 frame grabber
MARCH 7--Data Translation Inc. (Marlboro, MA; www.datatranslation.com) has shipped its DT3162 variable-scan monochrome frame grabber for the PCI bus.
MARCH 7--Data Translation Inc. (Marlboro, MA; www.datatranslation.com) has shipped its DT3162 variable-scan monochrome frame grabber for the PCI bus. The board provides up to a 40-MHz pixel acquire rate to accommodate newer, faster cameras; high-resolution data sampling for exact measurement; and advanced software capabilities for programmable timing, resolution, camera setup and video format. Because many machine-vision applications require control functions, the DT3162 also provides four input and four output digital lines so it can be used as a one-board solution.
Fred Molinari, president, founder and CEO of Data Translation, said, "The all-purpose design of the DT3162 makes it ideal for demanding scientific imaging, machine vision, and other high-end applications. Its high speed, programmable front-end flexibility, flexible input timing, and spatial resolution are just some of the innovations that will help drive these markets into wider acceptance."
The DT3162 frame grabber's analog front-end design uses a 10-bit A/D converter to capture the sharpest and most noise-free image of any comparable analog frame grabber. The DT3162 frame grabber's autocalibrate feature also sets it apart from other frame grabbers. Users can recalibrate on-site using an on-board video signal. Support for the Camera Interface Module lets users connect any camera, triggering device, or external clock signal into the DT3162 frame grabber via a DIN-rail mountable enclosure so that they can be up and running in minutes.
Designed at an optimum 40-MHz pixel clock rate, the DT3162 provides a much faster sample rate allowing for more precise image capture across a broad range of cameras. The DT3162 also features a camera/strobe timing control to insure operation with any asynchronous-reset camera, no matter which mode it operates in. This feature is vital for machine-vision applications to capture images as needed without losing data.