Field of View
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In many installations one
OKIQeye multi-megapixel camera can
replace two, four or even more cameras.
Mechanical PTZ units can be replaced with a
multi-megapixel
OKIQeye with a wide field of view lens.
Greater Field of View reduces cost
three ways:
1. Fewer devices to install and
manage - up front and ongoing cost
savings
2. Smaller file sizes so less disk
required for archival
3. Fewer network nodes - smaller
switches and less wiring
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Typical CCTV
Installation |
IQeye Installation |
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Every installation
has unique requirements for camera placement
and lens selection. There are handy circular
calculators available from CCTV suppliers
that are a big help, and there are some good
links on the Internet that explain how to
calculate field of view and pixels per
subject at different camera to subject
distances.
Here is an excerpt
from the U.S. Department of Justice report
intended for use by schools when designing
surveillance systems:
For observation
of a camera scene to determine only if a
human is in the scene (or to be able to
distinguish between a person and an
animal), a minimum criteria of 6
horizontal TV lines across a 1-foot-wide
object within the scene is used. (In
terms of active picture elements, this
means that a 1-foot-wide object would
cover 8 horizontal active picture
elements for each row of picture
elements for the height of the object on
the camera imager.) For identification
of a person by facial features, 16
horizontal lines (21 pixels) of
resolution subtending a 1-foot-wide
object is needed.
To test this, we
took some pictures with an OKIQeye.
The area highlighted as the face below is
about 10" high, so the DOJ report would
allow the use of the smallest image
represented. We think it gets fuzzy long
before that, and our consensus was to use
twice as many lines as the minimum standard.
Wouldn't you rather have good image detail?
Methodology: Using
an
OKIQeye
and a 6.5 mm lens we increased distance and
took an exposure until the face was
unrecognizable. Then the head and shoulders
was cropped from the large image. We used
Photoshop to copy the face and enlarged it
to 92 by 110 (the native resolution of the
largest face) using bicubic interpolation.
No sharpening or other manipulation was used |
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