CASE STUDY

Raytheon Technologies has developed a groundbreaking hyperspectral technology system called RAIVEN to address these challenges , revolutionizing the way aircrews detect and identify threats , obstacles and targets in real-time .

By combining Artificial Intelligence , electro-optical imaging , hyperspectral imaging and LiDAR , Raytheon pitches RAIVEN as providing an unprecedented intelligent-sensing capability capable of even detecting the chemical signatures of human skin and hair . gives aircrews more time to make decisions ,” he said . “ For aircrews on combat missions , it extends their range , provides a clearer battlespace picture , and offers an intelligent way to process that data . That ’ s what RAIVEN brings to the table .”

With RAIVEN , pilots can see up to five times farther and clearer than before , compared to traditional electrooptical imaging systems . This means aircrews can spot potential threats from a safe distance and keep their platforms out of harm ’ s way .

RAIVEN can automatically detect and identify threats , reducing the workload for operators and accelerating the decision-making process .

Those operators can silently and covertly observe their surroundings .

“ You can imagine the value of such a capability when trying to find a downed aircrew member in a forest or sailor who has gone overboard at sea ,” said Jake Ullrich , Surveillance and Targeting Systems Engineering Director , Raytheon Technologies .

“ RAIVEN informs aircrews , ‘ There ’ s something here . Here ’ s what I think it is or here ’ s what I know it is .’ It

The system ’ s intriguing capability lies in its ability to analyze and identify chemical signatures of various materials including gases , metals , vegetation and many others .

Its hyperspectral technology allows it to detect targets or objects that were previously invisible to the human eye or other conventional imaging technologies .

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