DFRC and BK C&F sign a MoU for the integration of HaLow WiFi technology with LBASense
DFRC and BK C&F have signed in Seoul a Memorandum of Understanding for the integration of HaLow WiFi technology into the LBASense product lines.
Christmas Eve Crowd Analytics in Gangnam
Crowd Analytics during Christmas Eve in Gangnam, show the popularity of the neighbourhood through the crowd’s activity.
How To Measure The Conversion Rate At Pop-Up Shops – The AMK Hub Example
Find out how LBASense’s multi-range WiFi people counter and software allowed to measure the conversion rate for an outdoor pop-up shop at AMK Hub in Singapore.
Pop-Up Event Use Case – Events’ Impact on Tourism, The Hadong Example
Analysis of the crowd’s behaviour in several events located in Hadong region (Korea) and happening at the same time, to understand their impact on Tourism.
Introducing the Internet of People in North America
Happy to announce a joint venture just signed between DFRC and Ideaself to connect People and IoT sensors in North America
Workforce Management made easy, passive, no apps attached
LBASense transforms Workforce Management into a passive monitoring activity, a smart task allocation tool, an alert notification system – all at the same time, without requiring any mobile app.
MAC Randomization and Crowd Analytics
What is MAC Randomization and how can it impact mobile phone detection for Crowd Analytics? Analysis and effects of this love-and-hatred relationship.
How to Measure ROI on Public Events?
Public events are often free and non-ticketed. What are the main technologies available to analyse crowds in public spaces, and measure popularity and ROI?
From Education To Business Intelligence: Singapore Polytechnic Open House Crowd Analytics
From January 10 to 12, LBASense detectors were deployed at Singapore Polytechnic to offer unique insights into the crowd’s activity during Open House 2019.
Crowd Analytics For Shopping Malls – From People Counting To Deep Learning, A Three-Phase Approach
From people counting to customer behaviour analysis and deep learning, what are the most common crowd analytics’ technologies in Shopping malls and how do they work?