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FLIR Thermal Imaging Systems

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FLIR Recon III

The FLIR MilCam Recon III is a thermal binocular with a three field of view system that delivers excellent range performance from 45 to 220 mm. The Recon III has a long wave, highly sensative, uncooled microbolometer, for long range thermal imaging. - flir milcam, flir observir, thermovision milcam recon, milcam recon, thermal video, thermal imaging, security, surveillance, thermography, heat signatures, flir systems, homeland security, border patrol, FLIR, infrared, law enforcement, thermal camera, thermovision, night vision

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About the Recon III

The new Recon III ObservIR is a thermal binocular with a three field of view system that delivers excellent range performance from 45 to 220 mm.

Superior to any night vision technology, the Recon III has a long-wave, uncooled imager and a high sensitivity, mid-wave InSb sensor for long range imaging.

ObservIR is ergonomic, lightweight, flexible, and will run for more than 4.5 hours on standard D size Lithium Ion batteries. Recon III can be configured with a laser pointer for addition tactical advantage.

The Recon III is the most versatile reconnaissance imager available for both day and night vision.

In-Depth Look at the Recon III

High resolution, large format 640x480 mid-wave InSb sensor:
Delivers unmatched range performance and image quality

Instant-on, long-wave channel:
Provides fast situational awareness and a redundant sensor

Fast 3 field of view system with 15, 10 and 2.5 degree fields of view and digital zoom:
Perfectly matched zoom settings for the short, medium and long range Recon mission

New automatic digital image processing techniques:
Offers image detail unmatched by analog systems

Lightweight and rugged Mil STD 810-F package:
Reduces operator fatigue for long duration missions without sacrificing field hardening

Flexible remote control, power and video options:
Can be configured for tripod use with full remote control with video output for continuous operation

Recon III Details

Distance Chart Product Datasheet Operation Manual N/A

Pricing and Ordering Information

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Features

Optional laser pointer options:
Offers additional tactical advantage when coupled with night vision equipment

Runs for over 4 hours on D cell LI batteries:
Get long run times on commercially available batteries

Recon III Detection, Range, Identification (DRI)
Detection   Identification  
> 5 Miles
> 3,200'
  • Human DRI Human DRI
  • Vehicle DRI Vehicle DRI
  • Boat DRI Inflatable Boat DRI
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:
Human Detection
Detection  
3.6 pixels by 1 pixel
(You can see something
is there)		 Human Recognition
Recognition  
13 pixels by 5 pixels
(You can see that a
person is there)		 Human Identification
Identification  
28.8 pixels by 8 pixels
(You can see that the
person looks like a soldier)
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 vehicle is 4m by 1.5m, the following would apply:
Vehicle Detection
Detection  
2.8 pixels by 1 pixel
(You can see something
is there)		 Vehicle Recognition
Recognition  
13 pixels by 5 pixels
(You can see that a
vehicle is there)		 Vehicle Identification
Identification  
26 pixels by 10 pixels
(You can see that the
vehicle may be a humvee)
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 inflatable boat is 9m by 1m, the following would apply:
Boat Detection
Detection  
4.5 pixels by 1 pixel
(You can see something
is there)		 Boat Recognition
Recognition  
18 pixels by 2 pixels
(You can see that a
boat of some kind is there)		 Boat Identification
Identification  
36 pixels by 4 pixels
(You can see that the boat
is a small Inflatable Boat)
   
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