Face Mask Detector-TL

INTRODUCTION

COVID-19 face mask detector using OpenCV, Keras/TensorFlow, Flask and Deep Learning

• This is my project in DL Class, which is organized by AI4E. The COVID-19 mask detector I'm building here today could potentially be used to help ensure your safety and the safety of others. COVID-19 face mask detector used to:
  • Detect face masks in images
  • Detect face masks in video
  • Detect face masks in real-time video streams
• Solution:
  • Detecting faces in images/video
  • Extracting each individual face
  • Applying our face mask classifier

PROJECT DEMO

• Demo web by Flask

• Detect in images

• Detect in video

• Detect in real-time video streams

FRAMEWORK USED

• OpenCV
• Tensorflow
• Keras
• Flask

INSTALLATION AND RUNNING

1. Clone the repo

2. Use the package manager pip to install package

   pip install -r requirement.txt

3. Open source code and read how to run

RESULT

NEED IMPROVEMENT

Our current method of detecting whether a person is wearing a mask or not is a two-step process:

• Step 1: Perform face detection
• Step 2: Apply our face mask detector to each face

If enough of the face is obscured, the face cannot be detected, and therefore, the face mask detector will not be applied.

REFERENCE

• Pyimagesearch
• Mobilenet model
• MobileNetV2: Inverted Residuals and Linear Bottlenecks - Mark Sandler, Andrew Howard
• Towardsdatascience
• data-flair blog
• Github
• Youtube