![]() Smart Cameras: smart cameras are becoming better and cheaper, sometimes eliminating the need for a host processor altogether for simple tasks. The current trend for these systems is to use Firewire interface and we see that switching to USB 2.0 in the next 12 months. ![]() This allows machine vision systems to better tolerate environmental lighting extremes as well as more easily accommodate changes in luster or reflectivity of the object being inspected.įrame grabber: we also see a strong drive to get rid of the added cost and complexity of the frame grabber for mid to low-end machine vision tasks. Sensors technology: we do see a drive to use CMOS sensors instead of the traditional CCD for many reasons, the chief of which most CMOS sensors do not 'bloom' or 'streak' with excessive over light conditions as CCD's tend to do. Terry Zarnowski: “This is a fairly open question. line scan, area, etc.) only useful as they lend themselves more towards applications vs. Segmenting by photon gathering technique (i.e. Most of all the analog cameras and some low-level digital cameras are in this category. Dumb: Smart - ability to communicate and control the functionality of the camera via software and NOT processing within the camera. Jeanne Miraglia: “Monochrome/color, analog/digital, standard-scan/progressive, imager size, imager type, etc.” I. Physical form - camera on a chip, board, box “ G. Level of integration - simple to smart How would you segment the camera technology used in machine vision from a technology perspective not market perspective?ĭave Gilblom suggests the following segmentation:Ī. Geometrically - Line Scan, Area Scan, TDIī. Spectrally - Monochrome (one band - X-ray, UV, Vis, IR), Multispectral (color, more than one band of other types)Ĭ. Sensor Technology - CCD (Frame, Interline, etc.), CMOS, CID, Muxed Array (InGaAs, etc)ĭ. Interface - Analog, Digital (CameraLink, parallel, FireWire, etc.)Į. Optical format - 1/10 inch to 35mm and othersį. Speed - Snapshot, standard video, fast
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