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Image Sensors vs. Cameras, how does camera technology make a better picture?

Posted by Gretchen Alper on Thu, Oct 20, 2011

OEM system developers typically consider industrial video cameras that contain a particular image sensor, and then base their final decision on baseline needs such as camera outline and unit price.  While the image sensor selection is important, the fact that several cameras use the same image sensor does not mean the cameras from different vendors will produce the same image, or even meet the requirements of specific vision applications.  But what parameters are determined by the camera and how can you determine the right fit for your system?  

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Topics: Sensor Technology, Image Quality Improvements

Minimized Channel Matching Error on Cameras with Kodak Sensors

Posted by Gretchen Alper on Wed, Jul 6, 2011

Channel matching error or channel mismatch is defined as the difference between the CCD sensor outputs at a certain video level.  We work to ensure our channel matching error is as small as possible and that the channel matching is automatically maintained despite changes in temperature. 

A dual tap CCD sensor allows for the image to be split in half (or in 4s for a quad tap sensor) so that the charge transfer can be completed much more quickly (Figure 1).  One of the side effects of using a dual tap camera is a channel mismatch.  Channel mismatch is visible as a difference in offset, linearity, or sensitivity of the two image haves (Figure 2).

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Topics: Image Quality Improvements

In-camera Color Processing from a Mosaic Color Filter Array (e.g. Bayer)

Posted by Gretchen Alper on Thu, Jun 9, 2011

For certain imaging applications, a full color image is required for accuracy, particularly with outdoor applications, such as traffic systems (license plate recognition), surveillance, and situational awareness.  Adimec’s color cameras can include in-camera color processing which we developed ourselves to be optimized for automated adjustment to ever-changing outdoor conditions. 

Color processing is optimized to bring human color perception from a screen-image as close as possible to color perception when looking at the actual scene.  Adimec’s color cameras utilize single chip digital image sensors with a Bayer CFA for cost and response reasons. The filter pattern is 50% green, 25% red and 25% blue.  (This is also discussed in our previous blog post).  With Mosaic Color Filter Array, color processing involves 2 steps:  demosaicing and then color recalculation.

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Topics: Image Quality Improvements

Looking through the fog in HD resolution with cost effective visible camera solution

Posted by Gretchen Alper on Wed, May 4, 2011

See Through the Fog with Cost Effective Solutions for Defense and Security Applications from Adimec:  HD Doesn’t have to be High Cost

SWIR and infrared cameras enable "sight" in difficult situations for the human eye.  But these solutions offer low resolutions and a SWIR camera can cost 4 to 5 times more than a "normal" visible camera.  During last week's SPIE Defense, Security and Sensing event in Orlando, FL, Adimec showed our VEM technology and our new rugged camera platform.  This technololgy enables contrast enhancement using visible cameras with high resolution (e.g HDTV) to obtain clear images despite environmental issues such as fog, mist, or low light.  The combination of high resolution and the ability to see clearly in difficult circumstances significantly improves the possibilities for detection, recognition, and identification in situational awareness and HD designator systems.

That’s why Adimec’s  “See Through the Fog” demo really struck a chord:

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Topics: Image Quality Improvements

In-camera Video Contrast Enhancement To See Through the Fog

Posted by Gretchen Alper on Wed, Apr 27, 2011

Adimec’s Video Contrast Enhancement Module (VEM) automatically improves performance and accuracy in low contrast conditions.  This capability addresses a limitation in off-the-shelf CCD sensors which do not perform well in low contrast conditions.  It is especially useful in applications such as outdoor/defense (where environmental issues present challenges, particularly in long-range observation) and metrology/inspection (where low-contrast materials impede accuracy).

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Topics: Image Quality Improvements

Flat field correction improves machine vision camera uniformity

Posted by Gretchen Alper on Mon, Mar 14, 2011

Embedded flat-field correction in the camera improves uniformity, aids in-field set-up.

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Topics: Image Quality Improvements