The CAT EYE XLR is a fixed day/night vision system with high performance extra-long-range observational capacity, challenging the world of infrared and previously-available nighttime identification capabilities for defense and security forces.
This system renders a 24/7 flux of video in FULL HD, providing even more pixels and increasingly more visibility than its field-proven CAT EYE predecessors. CAT EYE XLR provides crisp, natural vision in the visible spectrum from daylight to the dark of night, making it possible to identify a vehicle or vessel at up to 20 kilometers away in pitch black or conditions of low visibility. Its daytime range of vision is 40 kilometers when the system is mounted at an elevated position.
Range-gated active imaging is the mode allowing for target identification in the dark of night and this is a technology in which LERITY possesses true expertise; Active Imaging also provides improved quality of vision in rain, snow, fog, heavy pollution or even sandstorms. The CAT EYE XLR’s 200 W laser sources, illuminating the target with one thousand pulses of light per millisecond, are divided into two fields of illumination: narrow and ultra-narrow, to allow for precise target designation.
All the features of a ruggedized and modern surveillance camera (gyro-stabilized turret, telemetry, GPS, recording and playback on control screen…) make this technological jewel an unparalleled asset for coastal surveillance, border surveillance or perimeter surveillance, and for the protection of critical infrastructure (nuclear parks, oil facilities, and more).
Since the launch of the product line in 2015, CAT EYE vision systems have received very positive feedback from homeland security and military forces. They are the subject of extensive testing campaigns and have been integrated as security solutions in several countries including France. The development of the CAT EYE XLR is supported by the French Navy. It is compatible with various sensors (Radar, AIS...) and can be integrated with various C2 command systems.
