To prevent crowd crush incidents like the Itaewon tragedy, it’s crucial to go beyond simply counting people and to instead have a technology that can detect the real-inflow and movement patterns of crowds. A KAIST research team has successfully developed new AI crowd prediction technology that can be used not only for managing large-scale events and mitigating urban traffic congestion, but also for responding to infectious disease outbreaks.
Predictive AI could prevent crowd crush disasters
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