Intelligent People Flow Guidance System in Crowded Spaces

Stampede accidents have always been a problem that cannot be ignored in the world. Recently, numerous serious fatal accidents have occurred due to crowd pushing during events. The most famous one is the serious accident in Itaewon, South Korea in 2022. According to the South Korean government, 159 people were killed and 196 others were injured. The main cause of death in this crowding accident is not only due to being trampled, but also due to the high crowd density, which caused people to suffer from compressive suffocation, means that it was a long time for people stuck in there not to breathe. These stampede incidents occur mainly because the flow of people cannot be effectively managed and diverted. In view of this, this study develops an intelligent people flow guidance system in crowded spaces, which apply deep learning technology to identify pedestrians and predict the direction of people flow. Next, an intelligent retractable with autonomous movement, positioning and navigation functions is developed, so that the intelligent retractable to move to the correct position autonomously and pull up telescopic fences to guide and divert pedestrians, effectively achieving the effect of rapid evacuation in crowded areas.