Pop-Up Event Use Case – 1913 송정역시장 Beer Festival 2018
Crowd Analytics during the 1913 송정역시장 Beer Festival held on September 1st 2018 in Gwangju Korea, show the success of the event through the crowd’s activity.
Pop-Up Event Use Case – Artbox 2018
Crowd Analytics comparing different zones of Artbox 2018 in Singapore, combined with social media listening show the visitor’s interest and prefered areas.
Artbox 2018: Crowd Analytics and Social Media Listening Show the Crowd’s Favourites
Artbox comes back to Singapore in 2018 and enthusiastic visitors also return, generating a popular success, both along the Bay and on the Social Media, revealing the crowd’s top interest.
Smart City Use Case – Seoullo 7017
Analysis of visitors’ footfall, holidays and outside temperature correlation, in 4 different parts of the Seoullo 7017 Bridge in Seoul, Korea.
Pop-Up Event Use Case – Urban Ventures Street Party 2017
Analysis of peak hours and real-time crowd behaviours during the Urban Ventures Street Party 2017, on October 21st 2017 in Keong Saik Road, in Singapore.
DBS Marina Regatta 2017: Singapore’s Pop-Up Beach Event Crowd Analytics
LBASense Crowd Analytics system was deployed at DBS Marina Regatta to analyse visitors’ behaviour patterns and peak hours, according to each monitored region.
Tourism
The Crowd Analytics for Tourism solution is tailored for Smart Cities, municipalities, tourism boards, museum managers and marketing teams who want to know more about flows and patterns of tourists in the city.
Pop-up Events
Are you organising big outdoor events and festivals? Then it’s essential to know your audience if you want to offer them a safe and unforgettable experience.
Pop-Up Event Use Case – DBS Marina Regatta 2017
Analysis of peak hours and real-time crowd behaviours during the DBS Marina Regatta Singapore event at Marina Promontory in June 2017.
ArtBox 2017: Introducing Singapore’s New Pop-Up Market Crowd Analytics
DFRC has installed its crowd monitoring system at the Singapore ArtBox market and analysed with great interest the visitors’ behaviour patterns.