The SeaSearch Workshop: a successful demo event
How to detect and rescue vessels in bad weather conditions? How to protect our seas in an effective way? On Wednesday, March 8th, the SeaSearch project at its best was demonstrated during the Workshop organised by Halpin and NMCI, with the support of the consortium leader, DFRC, and the partners, TechWorks Marine and UCC.
IoT monitoring tourism in Barcelona: the Sagrada Familia use case
Focusing on the capabilities of IoT and Big data serving tourism, Dr Torrent from Eurecat, presented during Smart City Expo World Congress the results of a project set to analyse tourists’ behaviour and flow using LBASense sensors, at the world renowned Sagrada Familia.
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.
Improving safety at sea: the SeaSearch consortium at work
SeaSearch is an ESA-supported demonstration project that aims to protect and make Irish marine and coastal waters safer, through integration of satellite and radar images, AIS data and phone detectors technology.
DFRC, the consortium’s leader, and its partners TechWorks, NMCI and UCC are examining the challenges of equipping helicopters and ships with a stand-alone device capable of detecting mobile phones and associating them with specific vessels, for Search and Rescue operations, both at sea and inland, in a new, integrated and effective manner.
CommunicAsia 2016, tech combination for retail and security
CommunicAsia 2016: crowd analytics fuses with video and access control system to disclose a whole new world for retail and security. Flavour it with LBASense Dashboard app.
Value-added analytics for operators: LBASense for Telcos
Value-added analytics is a generic term to define benefits solutions like LBASense could bring to operators, as well as tourism agencies and municipalities. Besides statistical figures of footfall, duration of the stays and revisit patterns, location-based algorithms that rely on anonymous mobile phones signals help performing analysis on mobility, nationalities and competitors’ subscribers. How to bring operators’ knowledge to higher, aggregated and more comprehensive level.