September 20th, 2012

On-Camera Image Processing Improves System Performance

Three tips for reducing system costs

Tip 1. Focus on core competencies: Expensive software resources can be spared when no workarounds have to be created for inefficient camera performance. Software designers can focus on supporting the company’s core competencies rather than worrying about poor image quality.

 

Tip 2. Save on frame grabbers and PCs: Many systems are not performing constantly but make mechanical motions during which no images can be taken. Depending upon the OEM equipment architecture, it is sometimes beneficial to decouple the image acquisition speed of the image sensor from the interface data transfer speed, or data rate. While the images are acquired at full speed, the full time between inspections is used to transfer the data. This can be done with in-camera image processing and memory. Some image processing functions use multiple images to create one enhanced image. When this is done in the camera, the images per second can be reduced by a factor of 10 or even more – this can be the difference in using a two-tap Camera Link frame grabber or an expensive 10-tap

version.

 

Tip 3. Simplify your system design: With the image processing in the camera, manufacturers can add automatic adjustments through direct loops that autocorrect for temperature changes during operation, lighting conditions, lens defects or other specific system conditions. For example, with flat-field correction, some cameras also support in-field calibration. This allows for corrections of the image acquisition setup process, such as nonuniformity of lighting source(s) and optics used in setup. Some cameras support storage of multiple calibration “image maps” and can switch between different lighting-optics setups instantly during operation. This can ease system integration and avoids the development of calibrations on dedicated field-programmable gate arrays or digital signal processing in the PC.

 

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Name: Europhotonics 2012 autumn issue
Date: September 2012
Descr.: 
Filesize: 311 kB
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