Crowd Analytics for 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.
Crowd Analytics for 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.
Large-Scale Evacuations Plans: What IoT Solutions?
During the Busan Disaster Safety Industry Forum, DRFC’s Director, Erel Rosenberg introduced LBASense Situation Awareness for Large-Scale Evacuations.
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.
Catalan Crowd Celebrated Books and Love in Smart City Barcelona: La Diada de Sant Jordi 2017
Detailed Crowd Analytics of la Diada de Sant Jordi, on April 23rd 2017, proving cultural traditions remain strong and popular in Smart City Barcelona.
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.
Safety Use Case – Sensor-Equipped Drone in Ireland
Tactical monitoring, demonstrated in Ireland, that allows end users to focus on target areas by flying over with a drone equipped with LBASense sensors.
Sensing On-the-fly: Drones
Real-time crowd analytics technology can be brought an incredible step forward thanks to the ability to mount sensors on drones, monitored simply with a mobile phone application.
Crowd Analytics faster than ever: the F1 weekend in Singapore
Singapore F1, another use-case for LBASense applied Crowd Analytics. How the event monitoring can be useful for organisers and spectators as well.
The Singaporean Crowd Analytics Mobility Use Case
DFRC, in Singapore since 2012, has installed several LBASense sensors in the Island in order to analyse the citizens’ mobility patterns.