How do you think the new GigE standards will influence the machine vision industry?
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By Philip Colet
When it comes to image processing, fast is usually better and virtually all image processing systems are expected to provide results quickly. To achieve the real-time and high-speed performance that most manufacturers desire, the correct image processing hardware must be chosen and the processors need to be organized appropriately.
Before selecting image-processing hardware, the effective image data rate for the purpose of image processing must be known. To determine the effective image data rate, the following four features must be known:
The steps in determining the effective image data rate for image processing (PR) are:
For example, suppose a system uses a synchronous (free-running) camera with an image resolution (RI) of 640x480 pixels (NP=307,200 pixels), needs to acquire an image every 0.5 second, takes between 0.05 and 0.088 second to expose and transfer the image and must have the results available within 0.2 second after image acquisition is triggered. Then the effective image data rate is:
PR=307,200 pixels/min(0.5 sec, 0.2-0.088 sec)=307,200/0.112 = 2,743,000 pixels/sec.