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PGR has announced the addition of the
SCOR-14SO model to the Scorpion™ line of cameras. Using Sony's
ICX267 CCD sensor, this camera streams 1.4 mega-pixel images at 19 FPS.
SPECIFICATIONS:
Sensor
|
Sony
ICX267
color & BW
|
Resolution
|
1360x1024
|
Frame Rate
|
19
FPS
|
SNR
(Signal-Noise Ratio)
|
>50
dB
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As with the other
Scorpion models, additional features include:
- Custom image modes
- Automatic synchronization
- General purpose I/O
- Built-in RS232 serial port
Production units will be available
February 2005. For pricing information or to place an order for
the full development kit, contact sales@ptgrey.com.
Each full development kit contains:
- Scorpion camera
- 4.5m, 6pin, IEEE-1394 cable
- IEEE-1394 OHCI PCI Host Adapter
3 port-400 mbps/sec card
- C/CS mount lens holder
- 12 pin Hirose connector
- PGR FlyCapture C/C++ API and
device driver
- C/C++ Image acquisition library
- Example source code for quick
start within the programming environment
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For more
image acquisition flexibility, PGR's Flea™ and Scorpion™
cameras offer both Region of Interest (sub-window) and Binning (pixel
merge) readout modes. Both methods reduce the output resolution
of the camera, but do so in different ways that have different
advantages and characteristics.
ROI
- Region of Interest
Region of Interest (ROI) readout defines an
output image area that is smaller than the full resolution of the
camera. For example, a 640x480 camera can define an output area
of 320x240 or 640x64. The output is a
sub-window with a reduced field of view.
Examples
of ROI and the increase in FPS:
Camera model
|
ROI
|
Frame Rate
|
| FLEA-BW
640x480 |
320x240 |
99
FPS |
| FLEA-HIBW
1024x768 |
320x240
|
65
FPS
|
| SCOR-03SO
640x480 |
320x240 |
80
FPS |
| SCOR-14SO
1360x1024 |
320x240
|
30
FPS
|
| SCOR-20SO
1600x1200 |
320x240 |
24
FPS |
Binning
Binning
readout merges pixels together on the sensor before readout and
digitization in the camera. The Flea™ and Scorpion™ support 1x2 and
2x2 binning. Binning 2x2 merges together pixel pairs horizontally
(rows) and vertically (columns) to create "super pixels". Since
the pixels values are added together on the sensor, any color
information is lost so output images are always monochrome. For
example, a 640x480 sensor would be reduced to 320x240 with 2x2 binning
or 640x240 with 1x2 binning.
Examples
of 2x2 Binning and the increase in FPS:
Camera model
|
Resolution
|
Frame rate
|
FLEA-BW
640x480
|
320x240
|
103
FPS
|
FLEA-HIBW
1024x768
|
512x384
|
51
FPS
|
SCOR-03SO
640x480
|
320x240
|
109
FPS
|
SCOR-14SO
1360x1024
|
680x512
|
28
FPS
|
SCOR-20SO
1600x1200
|
800x600
|
26
FPS
|
The following chart
compares the pros and cons of these features:
Feature
|
ROI
|
Binning
|
Faster frame rates when number of rows reduced
|
Yes
|
Yes
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Maintains field of view at the lower resolution
|
No
|
Yes |
Significant improvements in sensitivity & signal-to-noise
|
No
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Yes
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Same pixel size
|
Yes
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No
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Maintains color information
|
Yes
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No
|
Region of
Interest and Binning can also be used together to further fit the field
of view and resolution to your imaging needs. The reduced
resolution can be used to increase the frame rate, get more cameras on
the 1394 bus simultaneously, or just reduce the processing load.
For
more information
on the above cameras and features, contact sales@ptgrey.com.
Comments,
Queries,
Applications?
We
encourage you to email this newsletter to a friend or colleague.
PGR
is
always interested in pursuing new projects and welcomes your comments
and ideas. For information on Point Grey Research
and our products, please visit our website www.ptgrey.com
Cheers,
The
staff at
PGR
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| HandVu features PGR's Firefly® extended
camera |
The
HandVu
project developed by a group at the University of California, Santa
Barbara, features PGR's Firefly® extended camera.
Firefly®
extended camera
head piece
With
the camera as a head-worn piece, the HandVu software detects the
hand in a standard posture, then tracks it and recognizes key postures
- all in real-time
and without the need for camera or user calibration.
HandVu
implements a complete, vision based human-computer interface that
allows interaction with non-traditional computing environments such as
wearable computers and augmented reality. It comes with several
applications that demonstrate video capture with OpenCV's highgui,
DirectShow, and the Artoolkit. To
download the library or for more information, please visit the main HandVu web site.
Check out the following images captured using HandVu.

Interaction
with virtual objects
Mouse
and button interface
with hand gestures
For more information
on the Firefly®
camera or any other PGR
Imaging Product, contact sales@ptgrey.com.
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