The InfiRay JerryF Fusion Night Vision Tactical Monocular combines I² and thermal imaging technologies. The JerryF bi-spectrum monocular is a device that can observe and search targets at night, in darkness, under extreme environments such as smoke, fog, rain, snow, etc. It can be widely applied to scenarios including patrol, search and rescue, drug interdiction, and suspect apprehension. Due to its waterproof capability the device performs well even in severe weather conditions and challenging environments.
The JerryF from Cold Harbour is outfitted with a high performance Photonis Echo intensifier tube (IIT) and 12μm high-sensitivity thermal detector with 640x512 resolution. The JerryF can be used as hand-held device or mounted on a helmet. The user-friendly interface, comfortable and ergonomic operating controls makes adoption and application of the device incredibly simple. The device offers different variants of image view: thermal, I² night vision, and enhanced fusion image that can be easily adapted depending on different environmental conditions. The JerryF is also equipped with manual gain control, which adjusts the image brightness, providing the highest possible image quality even in changing light conditions. The monocular uses two 18650 rechargeable Lithium battery in the external holder for up to 8-hours of operating time in fusion image mode. In I² night vision mode device can run more then 60 hours.
Bi-spectrum image fusion and object highlight
Detail enhancement and target recognition
Selection of thermal view channel, I2 night vision channel, or both them combined with multiple fusion modes switchable
12 μm, 640x512 high-sensitivity thermal detector
Digital zoom in thermal channel
Azimuth and Pitch/Inclination Indication
Built-in compass with calibration
Brightness and contrast image adjustment
Extra large exit pupil diameter (15mm)
Low cower consumption. Up to 8 hours continuous running in fusion mode and more then 60 hours operation in I2 night vision mode
Aviation plug for external power supply and video output
