COVID 19 Detection System For Magic Leap 1
Community Project
The Magic Leap COVID-19 Detection System For Magic Leap 1 is a Mixed Reality application for Magic Leap that interfaces with a Convolutional Neural Network to provide real-time detection of COVID-19 in a Mixed Reality Environment.
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Category
About this project
Mixed Reality diagnostics system including integration with open-source classifier for SARS-CoV-2.
The COVID-19 Detection System For Magic Leap 1 uses Tensorflow 2, Raspberry Pi 4 & Magic Leap 1 to provide a spatial computing detection system for COVID-19.
The project uses the COVID-19 Tensorflow DenseNet Classifier a Tensorflow implementation of a DenseNet model and the SARS-COV-2 Ct-Scan Dataset, a large dataset of CT scans for SARS-CoV-2 (COVID-19) identification.
The classifier is connected to the HIAS iotJumpWay MQTT broker, requests are authenticated using the HIAS private blockchain via the MQTT IoT Agent, and classifications are stored in the historical database along with a hash of the classification for data integrity. The IoT Agent stores contextual data of the classifier in the HIASCDI Context Broker.
Technologies Used
- TensorFlow*
- Raspberry Pi 4
- Magic Leap 1
- Unity
