MultiChannelDetection Library, a Pepper Covid Assistant

How to develop an app that makes an interactive robot help in Covid 19 prevention
MultiChannelDetection Library, a Pepper Covid Assistant

SoftBank Robotics Labs is a set of public SoftBank Robotics projects (experimental code snippets, helper libraries, etc.) hosted on GitHub for anybody developing for Pepper and NAO.
For the whole project and all the instructions on how to run and use it, please go and see the project on Github.

This Pepper Covid Assistant application makes Pepper prevent and inform about the Covid19 using the Mask Detection and the MultiChannelDetection libraries.

The Github repository contains the MultiChannelDetection library and a sample app to explain how to use it.

The following features are shown in this application :

  1. Chat with Pepper FR/EN
  2. Human awareness
  3. Face Mask Detection
  4. Charging Flap State Detection

The module MultiChannelDetection uses both the native Human detection with the QiSDK and the library Pepper Face Mask detection to improve masked users recognition.
The module informs your application, regardless of the human detecting system.

Check out the details on the Github repo and see how easy it is to make it work!