The COVID-19 Detection System For Oculus Rift 2020 uses Tensorflow 2, Raspberry Pi 4 & Oculus Rift to provide a Virtual Reality detection system for COVID-19.
The project uses the COVID-19 Tensorflow DenseNet Classifier a Tensorflow implementation of DenseNet and the SARS-COV-2 Ct-Scan Dataset, a large dataset of CT scans for SARS-CoV-2 (COVID-19) identification created by our partners at Lancaster University, Plamenlancaster: Professor Plamen Angelov Centre Director @ Lira, & his researcher, Eduardo Soares PhD.
We use the trained model from COVID-19 Tensorflow DenseNet Classifier with the COVID-19 Tensorflow DenseNet Classifier For Raspberry Pi 4 and serve an API endpoint that exposes the Artificial Intelligence classifier allowing Oculus Rift to communicate with it.
These projects should be used for research purposes only. The purpose of the projects are to show the potential of Virtual Reality, Artificial Intelligence, and the Internet of Things for medical support systems such as diagnosis systems.
Although the classifier used in this project is very accurate and shows good results both on paper and in real world testing, it is not meant to be an alternative to professional medical diagnosis.
Developers that have contributed to this repository have experience in using Artificial Intelligence for detecting certain types of cancer & COVID-19. They are not a doctors, medical or cancer/COVID-19 experts. Please use these systems responsibly.
This project uses the orginal Oculus Rift for Virtual Reality and Oculus Touch.
This project uses Unity 3d, a real-time 3D development platform.
Below you will find details of the projects in this repository. Projects with HIAS = YES are compatible with HIAS.
| ID | Platform | Description | HIAS | Author |
|---|---|---|---|---|
| 1 | Unity | The COVID-19 Detection System For Oculus Rift built using the Unity 3D Development Platform. | YES | Adam Milton-Barker |
The Peter Moss COVID-19 AI Research Project encourages and welcomes code contributions, bug fixes and enhancements from the Github.
Please read the CONTRIBUTING document for a full guide to forking our repositories and submitting your pull requests. You will also find information about our code of conduct on this page.
- Adam Milton-Barker - Asociacion De Investigacion En Inteligencia Artificial Para La Leucemia Peter Moss President & Lead Developer, Sabadell, Spain
We use SemVer for versioning. For the versions available, see Releases.
This project is licensed under the MIT License - see the LICENSE file for details.
We use the repo issues to track bugs and general requests related to using this project. See CONTRIBUTING for more info on how to submit bugs, feature requests and proposals.