The recent coronavirus pandemic has pushed people around the world to new challenges. More than 40% of Americans have now gotten at least one dose of the vaccine. But, there are still a lot of people out there who have not yet got any shots. So, putting mask is still a crucial way of protecting ourselves from virus. I still haven’t seen any efficient face mask detection applications which now must be in high demand for transportation means, densely populated areas, residential districts or enterprises to ensure safety. Maybe, it might me not be legal in USA to use face detection technology in common use. Anyways, I want to create an application to detect face mask use.
I want to build this project with my raspberry, I’m planning to use TensorFlow lite. To train my models, I’m going to use ML5 image classifier to create 2 class “with_mask“ and “without_mask“. Then I’ll transfer my data to my raspberry pi4.
WORKFLOW:
Requirements List:
Arducam uno mEGA 2560
Raspberry pi4
ML Teachable Machine
Tensorflow
Google Colab
Question: Is it possible to use Arducam uno mEGA 2560 with Raspberry pi4 or do I need an adapter?