Download MATLAB IMAGE ACQUISITION TOOLBOX - RELEASE NOTES User`s guide
Transcript
2 Introduction • Installing any software drivers required by the frame grabber. These are supplied by the device vendor. • Connecting the camera, or other image acquisition device, to a connector on the frame grabber • Verifying that the camera is working properly by running the application software that came with the frame grabber and viewing a live video stream Setting Up Generic Windows Video Acquisition Devices IEEE 1394 (FireWire) and generic Windows video acquisition devices that use Windows Driver Model (WDM) or Video for Windows (VFW) device drivers typically require less setup. Plug the device into the USB or IEEE 1394 (FireWire) port on your computer and install the device driver provided by the vendor. Setting Up DCAM Devices If you intend to access a DCAM-compliant IEEE 1394 (FireWire) camera, you must install and configure the Carnegie Mellon University (CMU) DCAM driver. The toolbox is not compatible with any other vendor-supplied driver, even if the driver is DCAM compliant. See “Installing the CMU DCAM Driver on Windows” on page 16-10 for more information. Resetting Your Image Acquisition Hardware To return MATLAB and your image acquisition hardware to a known state, where no image acquisition objects exist and the hardware is not configured, use the imaqreset function. If you connect another image acquisition device to your system after MATLAB is started, you can use imaqreset to make the toolbox aware of the new hardware. A Note About Frame Rates and Processing Speed The frame rate describes how fast an image acquisition device provides data, typically measured as frames per second. Devices that support industry-standard video formats must provide frames at the rate specified by the standard. For RS170 and NTSC, the standard dictates a frame rate of 2-8
Related documents
Image Acquisition Toolbox User's Guide
Image Acquisition Toolbox
MATLAB IMAGE ACQUISITION TOOLBOX 3 User`s guide
Documentation - Alcor
Using the Isis2 Library to Build Scalable High
fire alert system using shape and color analysis through image
ECE352: Signals and Systems II - Spring 2007
automated iris recognition system using cmos camera with proximity
MATLAB IMAGE ACQUISITION TOOLBOX - RELEASE NOTES User`s guide
capítulo 1 - DSpace en ESPOL - Escuela Superior Politécnica del