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    FLIR thermal night vision camera helps drivers detect hazards faster

    FLIR Infrared Cameras & Thermal Imaging

    FLIR Infrared Cameras & Thermal Imaging has launched a new range of thermal night vision cameras for vehicles featuring automated detection of people, animals or objects in the dark.

    The all-new PathFindIR II thermal night vision system from FLIR Systems uses FLIR’s latest night time video analytics algorithms to provide automated detection and alerts of pedestrians and animals, enabling drivers to spot hazards faster, increasing safety on the road at night. PathFindIR II’s thermal night vision allows pedestrians, cyclists, animals, and other road hazards to be seen at night from up to four times farther away than with only the vehicle’s headlights.

    FLIR’s PathFindIR II builds on the success of the original PathFindIR by adding a unique nighttime pedestrian detection feature that can be configured to automatically display alarms to alert drivers when the system detects a person or animal nearing or crossing the vehicle’s path.

    PathFindIR II installs easily in a wide variety of passenger cars, trucks, and industrial vehicles. Police, fire, and other first responder vehicles can benefit from the PathFindIR II with operators having the ability to see through smoke, find victims and suspects at night, and guide hoses onto fires in all conditions. PathFindIR II thermal night vision cameras on haul trucks and shovel and scoop vehicles in mining environments can operate safely and efficiently without endangering people as the operator can see through dark and dust.

    Describing the thermal camera as the ‘World’s Sixth Sense’, Andrew Teich, CEO of FLIR said that PathFindIR II can help make driving safer and more enjoyable no matter the vehicle, giving every driver expanded awareness of what’s going on around them.

    Featured on select models of Mercedes, Audi, and BMW automobiles, FLIR’s thermal night vision technology has helped increase safety on the road all around the world.

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