What we do

3D Indoor Location Coordinate - Navigation - Recommendation

A Complete Location Based Sytem. In Minutes.

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To serve our vibrant city with high quality location-based services through the collaboration efforts of open source community with software developers, information and service providers.

Features

3D Indoor Location Coordinate

Provide users' accurate indoor position identification and calibration

Navigation

Advance function mapping between navigation and maps

Recommendation

Provide point-of-interest recommendation by Cloud-based big data analytics techniques


This is a set of open source software development kits (SDKs) and Application Programming Interfaces (APIs) for developers to create new location-based services.

The architecture of the OpenLobster-SDK

Architecture overview


Overall system structure and included components

With the advance of Internet and positioning systems such as GPS, Wi-Fi, and iBeacon, etc., accurately pinpointing users' locations, especially the indoor locations, becomes possible. This brings many new business opportunities via providing location-based services.

This project aims to provide a set of software development kits (SDKs) and Application Programming Interfaces (APIs) for developers to create new location-based services.

 

 

MilestoneDesc.
2014 NovProject Start
2014 DecLaunch of OpenLobster Website
2015 JanOpenLobster Project on GitHub
2015 End of MarchLaunch of OpenLobster Beacon Scanner App on Google Play
2015 AprilPromotion of OpenLobster Project in ICT Expo (13th ~ 16th April, 2015)
2015 End of AprilFrist Release of OpenLobster-SDK on GitHub
2015 MayPromotion of OpenLobster Open Source Development Group
2015 JulySecond Release of OpenLobster-SDK on GitHub

OpenLobster is developed under the project "Open-source Cloud-based SDK Framework for Location-based Services (ITS/095/14)", which is supported by the Innovation and Technology Fund (ITF) of Innovation and Technology Commission (ITC), HKSAR

 

 

The "HeatMap" shows the density of Beacons around Hong Kong. Beacon information is obtained using the TrailBlazer Android App. The beacon scanned result is uploaded to the OpenLobster Cloud. Big-data analytics techniques are applied to produce the density map of beacon around Hong Kong.

Click the link to open the HeatMap on a new browser window. Please be reminded that it may take a while to load all the beacon density information in Hong Kong. If beacon density is not showing, you may press the "Toggle HeatMap" button on the top to restart the map rendering processing.

Simiple Statistics
Total Number of Beacons found191
iBeacon182
Eddystone9
Total Number of Unique iBeacon proximityUUID25

 

 

Table of Beacon Brands

NameWebsiteManagement PlatformIOS-SDKAndroid-SDKIndoor-Location-SDK
April Brother link
Estimote link
GhostYu link
Kontakt link
RadiusNetwork link
Red Bear link
In alphabetical order. Please send your beacon information to developer@openlobster.org.

 

 

OpenLobster-SDK is an open source software development kit. It's hosted, developed, and maintained on GitHub.

Get the OpenLobster-SDK from GitHub

 

 

Pleaes follow the link of the latest OpenLobster REST API Specification

OpenLobster REST API

 

 

TrailBlazer
TrailBlazer is a sample application for demonstrating how to use OLBS-SDK to perform schedule background scanning of iBeacon and Eddystone.
TrailBlazer had been deployed in the InnoCarnival 2015 for attracting visitors to find all the hidden Beacons. For more of the results, please visit the page TrailBlazer Statistics TrailBlazer can be downloaded from the Google Play

 

 

OpenLobster Development Team



Room 101, Ho Sin Hang Engineering Building,
The Chinese University of Hong Kong
Shatin, N.T.,
Hong Kong

Email: developer@openlobster.org
Phone: +852 3943 4257


Copyright © 2015 Department of Computer Science and Engineering, The Chinese University of Hong Kong. All rights reserved.