MOST: Photo Sphere based 3D representation of Live Building data streams

Description

Handling big building data (energy use, occupancy, etc.) on an urban level sometimes requires new concepts and out of the box thinking. This concerns both data processing and analysis. This project deals with innovative visualization strategies for building related data. The student will work on an indoor “Google Streetview” like room representation (based on photo spheres). Images are uploaded to a server and edited to include live sensor streams from a database. The spherical representations will be displayed in our web application. One sphere should display a single room. Room representations will be chained to allow a continuous representation of building areas (walkthrough).

Benefit for the Student

The student will work with mobile software development kits (Android, iOS), image processing libraries and state of the art web technologies (JavaScript frameworks, HTML 5, etc.).

Benefit for the Project

This work adds new representation possibilities to the MOST-framework. This projects provides a relatively simple way to represent building data in 3D models without using Augmented Reality or BIM.

Requirements

Good knowledge of Java, JavaScript, Basic knowledge of HTML5/canvas, image processing and manipulation.

Mentors

Harald Hofstätter, Stefan Glawischnig, Christian Tauber