One advantage of the Eyeson single stream is that you can change the video podium layout without the need for client side updates. With latest release of the Eyeson API we extended this feature and added support of voice detect activation for the podium positions, lets have a closer look.
In this post we'll share how we used [TensorFlow's object detection API] to build a custom image annotation service for Eyeson. Below you can seen an example where Philipp is making the "thinking" 🤔 pose during a meeting which automatically triggers a GIF reaction.
This tutorial provides a practical example of how to setup a video platform using the Eyeson API service. The application uses the [Eyeson ruby gem], the web application framework [Sinatra] and hosting platform [Heroku]. By following the steps in the how-to you will have a website up and running, providing an entry point for a shared video meeting room. The participants can join the meeting without any registration or sign up, and will return to the application website after exiting the meeting.
