3D Indoor Location Coordinate - Navigation - Recommendation
A Complete Location Based Sytem. In Minutes.
Learn moreTo 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.
Provide users' accurate indoor position identification and calibration
Advance function mapping between navigation and maps
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.
 
 
| Milestone | Desc. |
|---|---|
| 2014 Nov | Project Start |
| 2014 Dec | Launch of OpenLobster Website |
| 2015 Jan | OpenLobster Project on GitHub |
| 2015 End of March | Launch of OpenLobster Beacon Scanner App on Google Play |
| 2015 April | Promotion of OpenLobster Project in ICT Expo (13th ~ 16th April, 2015) |
| 2015 End of April | Frist Release of OpenLobster-SDK on GitHub |
| 2015 May | Promotion of OpenLobster Open Source Development Group |
| 2015 July | Second 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 found | 191 |
| iBeacon | 182 |
| Eddystone | 9 |
| Total Number of Unique iBeacon proximityUUID | 25 |
 
 
Table of Beacon Brands
 
 
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
Copyright © 2015 Department of Computer Science and Engineering, The Chinese University of Hong Kong. All rights reserved.