This system detects fires by first scanning wide areas with satellite images, using a specialized AI (a convolutional neural network) to pinpoint potential fires. Once a fire is identified, it automatically dispatches a mobile sensor, like an aerial drone, to get a closer, detailed view. This fine-grained image is then also analyzed by a convolutional neural network for further assessment.
Why it matters: Since 2019, the efficiency and accessibility of convolutional neural networks have vastly improved, simplifying the core AI processing. Concurrently, drone autonomy and battery life have advanced, making mobile sensor deployment more practical.
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