US 12,106,572 B2
Real-time crowd measurement and management systems and methods thereof
Andrew Tatrai, Campbelltown (AU); and Travis Lachlan Semmens, Campbelltown (AU)
Assigned to DYNAMIC CROWD MEASUREMENT PTY LTD, Campbelltown (AU)
Appl. No. 17/628,337
Filed by DYNAMIC CROWD MEASUREMENT PTY LTD, Campbelltown (AU)
PCT Filed Apr. 27, 2020, PCT No. PCT/AU2020/050402
§ 371(c)(1), (2) Date Jan. 19, 2022,
PCT Pub. No. WO2021/011992, PCT Pub. Date Jan. 28, 2021.
Claims priority of application No. 2019100806 (AU), filed on Jul. 24, 2019.
Prior Publication US 2022/0254161 A1, Aug. 11, 2022
Int. Cl. G06V 20/52 (2022.01); G06N 3/045 (2023.01); G06N 7/01 (2023.01); G06T 7/292 (2017.01); G06T 7/70 (2017.01); G06V 10/82 (2022.01); G06V 40/10 (2022.01); G06V 40/20 (2022.01)
CPC G06V 20/53 (2022.01) [G06N 3/045 (2023.01); G06N 7/01 (2023.01); G06T 7/292 (2017.01); G06T 7/70 (2017.01); G06V 10/82 (2022.01); G06V 40/10 (2022.01); G06V 40/20 (2022.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30232 (2013.01); G06T 2207/30241 (2013.01); G06T 2207/30242 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A real-time crowd measurement and management system comprising:
a data collection module comprising a plurality of data capturing devices installed in a plurality of zones, respectively, the plurality of data capturing devices are configured to continuously capture crowd data of a plurality of crowds in the plurality of zones, wherein each of the plurality of crowds comprising a plurality of people;
an analysis module configured to:
identify a plurality of crowd characteristics from the captured crowd data, wherein the crowd characteristics comprising at least one of a crowd density, a crowd flow, and a crowd mood;
analyse the captured crowd data to determine one or more patterns and changes in mood of the plurality of crowds; and
predict crowd information comprising at least one of one or more emergent crowd characteristics, an emergent crowd behaviour of the plurality of crowds, and one or more issues based on the analysis in real-time; and
suggest one or more actions for managing the plurality of crowds based on the crowd information; and
a display module configured to display the predicted crowd information along with at least one of an alert and at least one indicator in real-time, wherein the crowd characteristics comprising one or more quantitative crowd characteristics and one or more qualitative crowd characteristics, wherein the one or more quantitative crowd characteristics comprises a number of people in density (ppsqm i.e. people per square metre), the crowd movement of people (ppmpm i.e. people per metre per minute) i.e. speed and direction of people movement(s), and a mood score from negative, negative-neutral, neutral, neutral-positive to positive, further wherein the mood score comprises categories comprising unknown, neutral, happy, sad, surprise, disgust, worried, fear, anger and a level comprising low, medium, high.