Real-time crowd measurement and management systems and methods thereof

A method for measuring and managing crowd in real-time, the method comprising:

• continuously capturing, by a plurality of data capturing devices of a data collection module, crowd data of a plurality of crowds present in a plurality of zones, wherein each of the plurality of crowds comprising a plurality of people;
• identifying, by an analysis module, a plurality of crowd characteristics from the captured crowd data, wherein the crowd characteristics comprises a crowd density, a crowd flow, and a crowd mood;
• analysing, by the analysis module, the captured crowd data to determine one or more selected from patterns and changes in mood of at least one of the plurality of crowds including measuring the relationship between crowd density, crowd flow, and crowd mood in order to increase predictability of crowd behaviour;
• predicting, based on the analysis, by the analysis module, crowd information comprising at least one of
• one or more emergent crowd characteristics,
• an emergent crowd behaviour of one or more the plurality of crowds;
• and
• displaying, by a display module, the predicted crowd information along with at least one of an alert and at least one indicator in real-time.

A non-transitory computer-readable storage medium measuring and managing crowd in real-time, when executed by a computing device, cause the computing device to, in real time:

• continuously capture crowd data of a plurality of crowds in a plurality of zones, wherein each of the plurality of crowds comprising a plurality of people;
• identify a plurality of crowd characteristics from the captured crowd data, wherein the crowd characteristics comprises a crowd density, a crowd flow, and a crowd mood;
• analyse the captured crowd data to determine one or more selected from patterns and changes in mood of at least one of the plurality of crowds, including measuring the relationship between crowd density, crowd flow, and crowd mood in order to increase predictability of crowd behaviour;
• predict, based on the analysis, crowd information comprising at least one of
• one or more emergent crowd characteristics,
• an emergent crowd behaviour of one or more of the plurality of crowds;
• and
• display the predicted crowd information along with at least one of an alert and at least one indicator in real-time.