Pop-Up Event Use Case – Urban Ventures Street Party 2017

Urban Ventures Street Party 2017

Project Goal

Keong Saik Road, Singapore, October 21, 2017: understand the peak hours and real-time Crowd Analytics during the Urban Ventures Street Party 2017 organised by the creative studio LOPELAB.

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Key findings

Two LBASense Crowd Analytics sensors were deployed onsite, detecting passively and anonymously mobile phone signals, allowing to count in real-time the number of persons located in the area of the performance stage (sensor 1) and close to the DJ station (sensor 2).

Urban Ventures Street Party Deployment Map
Urban Ventures Street Party Deployment Map

LBASense sensors placed in two areas of the event show the same peak time, at 20:00.

Urban Ventures Street Party 2017 Crowd Analytics from the Dashboard View
Urban Ventures Street Party 2017 Crowd Analytics from the Dashboard View

Crowd Analytics show that, later on during the night, when the number of visitors is decreasing at the performance stage, at 22:00, more persons are detected at the DJ station.

 

Credits: Cover image ©ColossalPhotos for LOPELAB; LBASense images © by DFRC, October 2017.


Interested in deploying a similar system to analyse the crowd in your city? Contact us for more information, we will be happy to help.

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