Mission - grewe/covid_id GitHub Wiki

Covid ID mission statement image image

Covid ID is a project out of iLab associated with Computer Science at California State University East Bay to explore how Computer Vision and Machine Learning can be used to assist the general public with situation awareness as it relates to Covid-19. Initially a multi-faceted approach will be taken that explores different detection modules that would assist a user with understanding potential risks related to geographical locations.

First Stage will be a proof of concept to explore different situation awareness detection modules including Mask Detection, Crowd Density Estimation, Personal Distance Measurement and potentially IR Fever Detection. Different Artificial Intelligent and Statistical Pattern Recognition Techniques along with Computer Vision Algorithms will be explored for application in each of the detection modules. Machine Learning is one of the techniques that will be considered necessitating probable generation of appropriate datasets. Modern AI, CV and ML frameworks will be utilized. Where possible Cloud Resources will be featured.

The second stage will involve the synthesis of the situation awareness detection modules into a visualization to assist the user with decision making. Development into initially an Android mobile application will be the goal where imagery data and subsequent awareness detection module reports can be synthesized using crowdsourcing. This will necessitate the use of Cloud MaaS backend services.

Regarding the separation of on device versus on cloud computing different possibilities will be explored based on privacy, storage costs, latency and processing needs. These issues will be examined separately for each “stage” of our systems including various data storage and data processing needs.

Proposed Frameworks:

  • Tensorflow
  • Android
  • OpenCV

Proposed Cloud:

  • Google FireStore
  • Google Machine Learning - AI training & prediction
  • Google Machine Learning - explore Computer Vision API
  • Google Maps SDK
  • Google App Engine (possible web service)