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See Like a Cat at Night
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ATN NZT-1 Monocular

"The scope is basic but works superbly, I have two units, one brand new and another that the previous user pointed at the sun and killed for parts."
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ATN NZT-2MBN Night Vision Binocular

RECOMMENDED USE

campingcamping

wildlife observationwildlife observation

boatingboating

birds observationbirds observation

ATN NZT-2MBN Night Vision Binocular - Download Package
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Item # 1234567890

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Warranty: Two years
Export RestrictionExport Available - Licensing may be required

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description

The

ATN NZT-2MBN Scope

is a compact, stylish pair Night Vision Binocular. All 4x magnification glass lens systems combined with high-quality 1st+ Generation Light Intensifier Tubes give you a bright and sharp image in any dark situation you may find yourself in. A built-in Long-Range Infrared Illuminator is also included to let you see even in total darkness.
Do not let darkness impair your vision for a moment longer. Whether you are Camping, Boating, Observing Wildlife or surveying your property for intruders, the

ATN NZT-2MBN Night Vision Devices

let you see what goes bump in the night.

 

Specification

Total darkness techStandard
Magnification4x
Intensifier tubeHigh res. 1st gen
Detection range150 m/y
Recognition range100 m/y
Lens systemF1:1.2, F50 mm
FOV @ 1000m524ft / 160m
Diopter adjustment+/- 4
Resolution40 lp/mm
Power supplyOne 3 volt lithium battery
Range of focus10ft / 3m to infinity
Dimensions163 x 163 x 56mm
6.4 x 6.4 x 2.2"
Weight907g / 2 lbs.

 


Detection, Recognition, Identification

Select the Device:

Human DRI

Vehicle DRI

Measurements: Meters

The Johnson Criteria assumes that the critical dimension for a human being is 0.75 meters. To get DRI, you need 1.5 pixels, 6 pixels and 12 pixels across 0.75 meters in the object pane.
That means:

  • Detection
    1.5 pixels / 0.75m = 2 pixels per meter
  • Recognition
    6 pixels / 0.75m = 8 pixels per meter
  • Identification
    12 pixels / 0.75m = 16 pixels per meter

Assuming that a man is 1.83m by 0.5m, the following would apply:

Detection 3.6 pixels by 1 pixel
(You can see
something is there)

Recognition
13 pixels by 5 pixels
(You can see that a person
is there)

Identification
28.8 pixels by 8 pixels
(You can see that the
person looks like a civil man)

Assuming that a vehicle is 4m by 1.5m, the following would apply:

Detection
2.8 pixels by 1 pixel
(You can see something
is there)

Recognition
13 pixels by 5 pixels
(You can see that a
vehicle is there)

Identification
26 pixels by 10 pixels
(You can see that the vehicle
may be a off-road vehicle)

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