We explore and apply methods of image analization in several forms in order to monitor the condition and health of a crowd. Stampedes, congestion, and traffic all occur as a result of inefficient crowd management. Our software identifies congested areas and determines solutions to avoid congestion based on live data. The data is then processed by a local device which is fed via camera. This method was tested in simulation and proved to create a more efficient and congestion-free scenario. Future plans include depth sensing for automatic calibration and suggested course of action.
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[v1] 2016-09-01 23:12:12
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