COVID-19-Detection-Device

To overcome the problem of the COVID-19 pandemic, we developed a detector based on the Convolutional Neural Network (CNN) using X-ray images. The architecture in the CNN method is composed of 32 filters, 2 convection layers and 1 dense layer using the Python Programming language. The results of this technology trial are able to recognize the symptoms of COVID-19 accurately with an error rate reaching 9.27 e-4% and an accuracy value reaching 100%. So with this technology can make it easier to identify the symptoms of COVID-19 in patients with suspected.

INSTRUCTION

1. Download the code
2. Extract the code
3. Edit your path of training data and save directory for the result categories of labels and features at preprocessing.py
4. Edit your path for saving train data module at train_data.py
5. Edit your path for testing data at test_data.py
6. Open Command Prompt
7. run python preprocessing.py
8. run python train_data.py
9. run python test_data.py

REQUIREMENTS

• python 3.6.8 version
• matplotlib 3.2.1 version
• opencv-python 4.2.0.32 version
• tensorflow 1.14.0 version

INFERENCE RESULT REVIEW

TRAINING RESULT

You can learn about python programming at https://pythonprogramming.net/