When it comes to looking for people lost in the woods, thermal imaging can sometimes be rendered useless, especially when there is vegetation that covers the subsoil, and when the sun heats up the trees to the same temperature of the human body. When these things happen, the accuracy of the thermal camera decreases.
Researchers from the Johannes Kepler University used artificial intelligence to improve thermal imaging camera searches of people lost in the woods.
Testing of the system showed it to be approximately 87 to 95 accurate compared to just 25 percent accurate for traditional thermal images. The researchers suggest their system is ready for use by search and rescue crews and could also be used by law enforcement, the military, or wildlife management teams.
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