Field Service Support with Google Glass and WebRTC

Sammanfattning: The Internet is dramatically changing the way we communicate, and it is becoming increasingly important for communication services to adapt to context in which they are used. The goal of this thesis was to research how Google Glass and WebRTC can be used to create a communication system tailored for field service support. A prototype was created where an expert is able to provide guidance for a field technician who is wearing Google Glass. A live video feed is sent from Glass to the expert from which the expert can select individual images. When a still image is selected it is displayed to the technician through Glass, and the expert is able to provide instructions using real time annotations. An algorithm that divides the selected image into segments was implemented using WebGL. This made it possible for the expert to highlight objects in the image by clicking on them. The thesis also investigates different options for accessing the hardware video encoder on Google Glass.