AI enhances search and rescue efforts by quickly processing large volumes of drone imagery to find missing persons in flood situations. Drones can cover more area in a short time, producing extensive visual data. Machine learning systems can identify potential signs of human presence in the images, helping responders locate victims more efficiently. However, the current limitations of AI necessitate a hybrid approach where human operators collaborate with AI systems, ensuring more effective operations during critical early search phases.
Machine learning systems typically take less than one second to scan a high-resolution image from a drone, vastly improving efficiency compared to human processing times.
AI can help in searching for flood victims by ranking images that may contain signs of victims, indicating GPS locations for search teams to investigate.
The key to effectively using AI in search operations is collaboration between AI technology and human search-and-rescue personnel to enhance outcomes.
Despite current AI systems not being fully capable, they can assist in the early search phase by handling large volumes of visual data from drones.
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