ATN NVG7-3I FOM 1400 Night Vision Goggles

RECOMMENDED USE

professional

law enforcement

boating

TECHNOLOGIES

ATN NVG7-3I FOM 1400 Night Vision Goggles - Image 1

ATN NVG7-3I FOM 1400 Night Vision Goggles - Image 2

Item # NVGONVG73I


		Price Call for quote


		Generation:


		Warranty:

Export Available - Government orders only - State Department License Required

Shopping Status

Item in cart:	Total price:
0	$ 0.00

SecurityMetrics for PCI Compliance, QSA, IDS, Penetration Testing, Forensics, and Vulnerability Assessment

This System is also available in:

	ATN NVG7-WPTI
	ATN NVG7-2I
	ATN NVG7-2IA
	ATN NVG7-CGTI
	ATN NVG7-HPTI FOM 1400
	ATN NVG7-3N FOM 1600


		Night Vision Featured Retailers

		Buy NVG7-3 Night Vision Goggle from Optics Planet Buy NVG7-3 Night Vision Weapon Goggles from Night Vision Planet Buy NVG7-3 Night Vision Weapon Goggles from Night Galaxy

description

The ATN NVG7-3I FOM 1400 is a single-tube Night Vision Goggles built around High Grade 18 mm Gen. 3 Image Intensifier Tube and utilizes a pseudo-Binocular design for added observation convenience. It has a built-in IR light source for close-up illumination in complete darkness. Lightweight, rugged and a top-notch performer the ATN NVG7-3I FOM 1400

Night Vision Goggles

is an exceptional choice for handsfree usage. The

ATN NVG7

Device is available with a wide range of Image Intensifier options to meet a wide array of specification requirements.

FEATURES

Lightweight, compact rugged Goggle system
Multi-purpose: Hand-held, head-mounted or helmet-mounted
Comfortable, flip-up headgear
Multi-coated all-glass optics
Wide angle infrared illuminator
Optional 3x, 5x and 8x lenses available
Weather and fog resistant
Limited Two-Year Warranty

Specification

Total Darkness IR System	Yes
"SMART" Technology	No
Multi-Purpose System	No
IIT Generation	3
Photocathode Type	Multi - Alkali
Resolution	51-64 lp/mm
Signal to Noise Ratio	18-24
Figure of Merit	<1250
Photosensitivity	1000-1500
MTTF - Mean Time Before Failure	10,000 hours
Magnification	1x
Lens System	F1.2, 26 mm
Proshield Lens Coating	Yes
FOV	40°
Range of Focus	0.25 m to infinity
Diopter Adjustment	-5 to +5
Controls	Digital
Automatic Brightness Control	Yes
Bright Light Cut-off	Yes
Automatic Shut-off System	Yes
Infrared Illuminator	Yes
IR Indicator	Yes (in FOV)
Low Battery Indicator	Yes (in FOV)
Power Supply	1 x 1.5V AA type battery or 1 x 3V CR123A type battery
Battery Life	50 hrs
Environmental Rating	Weather and fog resistant
MIL-STD-810	Complies
Operating Temperature	-40 to +50 °C
Storage Temperature	-50 to +70 °C
Dimensions	172 x 62 x 102 mm 6.7” x 2.5” x 4.0”
Weight	0.45 kg / 0.9 lbs
Warranty	2 years


		Included Accessories Instruction Manual Lens Tissue One Lithium Battery Soft carrying Case Warranty card Goggle Kit Packing box Lens Cap Optional Accessories (check to add to cart) Call for quote Universal Helmet Mount Kit Call for quote IR450-B3 Call for quote 3x lens Call for quote 5x lens Call for quote Front Lens 8X


		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)

Night Vision Goggles

ATN NVG7

Detection, Recognition, Identification