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Operational Reference
Genie_TS_Series GigE Vision Camera
Binning
Binning is the process where the charge on two (or more) adjacent pixels is combined. This results
in increased light sensitivity since there is twice the sensor area to capture photons. The sensor
spatial resolution is reduced but the improved low-light sensitivity plus lower signal-noise ratio may
solve a difficult imaging situation. The user can evaluate the results of the binning function on the
Genie TS by using CamExpert.
Genie TS supports horizontal and vertical binning independently, by a factor of 2 or 4 in each axis.
Specifically if horizontal binning only is activated, a nominal 640x480 image is reduced to 320x480.
If vertical binning only is activated, the image is reduced to 640x240. With both binning modes
activated, the resulting image is 320x240.
With the Genie TS, binning is performed digitally, therefore there is no increase in acquisition
frame rate. The following graphic illustrates binning.
1
640
639
4
3
2
1
2
320
Horizontal Binning
by 2
Line
1
Line
2
Line
3
Line
4
Line
479
Line
480
Line
1
Line
2
Line
240
Repeated for each
line of pixels
Repeated for each column of pixels
Vertical Binning
by 2
Horizontal and Vertical Binning Illustration
Horizontal Binning Constraints
Horizontal Binning of 4 is available if the image width before binning is a multiple of 32 bytes
(16 pixels in Mono10)
Horizontal Binning of 2 is available if the image width before binning is a multiple of 16 bytes (8
pixels in Mono10)
Horizontal Binning of 1 is always available
Vertical Binning Constraints
Vertical Binning of 4 is available if the image height before binning is a multiple of 4 lines.
Vertical Binning of 2 is available if the image height before binning is a multiple of 2 lines.
Vertical Binning of 1 is always available.
Constraints with TS-M3500 (Vouvray 8M) and TS-M1920 (CMOSIS 2M) Models
These camera models, when used with the JPEG Design firmware do not support vertical binning at
their full native resolution. The JPEG firmware functions on a 8x8 pixel matrix. This requires that
