Categories: Google Glass

Google Glass – Mirror API – Glasswares – High Level Architecture

If you have been trying to understand the architecture around google glass, I have tried to put it in simpler manner. Feel free to share your comment.

High Level Architecture representing google glass project

Lets try and understand the above architecture:

  • Glass users subscription to your service: You develop one or more web-based service for google glass and publish. These services can be termed as glasswares. Glass users subscribes to your service by logging on to your website authenticating themselves using OAuth 2.0
  • Glassware updates using Mirror API: Your google glassware then starts publishing to google glass cloud using mirror API. To be able to that, you must register your service with google cloud.
  • Google Glass synchronizes with glass device: This is third aspect. Once your glassware publishes to google cloud using mirror api, google glass then synchronizes your updates to your subscribed users.
Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Share
Published by
Ajitesh Kumar

Recent Posts

Coefficient of Variation in Regression Modelling: Example

When building a regression model or performing regression analysis to predict a target variable, understanding…

2 weeks ago

Chunking Strategies for RAG with Examples

If you've built a "Naive" RAG pipeline, you've probably hit a wall. You've indexed your…

3 weeks ago

RAG Pipeline: 6 Steps for Creating Naive RAG App

If you're starting with large language models, you must have heard of RAG (Retrieval-Augmented Generation).…

4 weeks ago

Python: List Comprehension Explained with Examples

If you've spent any time with Python, you've likely heard the term "Pythonic." It refers…

4 weeks ago

Large Language Models (LLMs): Four Critical Modeling Stages

Large language models (LLMs) have fundamentally transformed our digital landscape, powering everything from chatbots and…

4 months ago

Agentic Workflow Design Patterns Explained with Examples

As Large Language Models (LLMs) evolve into autonomous agents, understanding agentic workflow design patterns has…

4 months ago