Inspiration
As we adapt to the aftermath of Covid-19, the Singapore Government has imposed a rule for everyone to wear masks when outside. However, we observed that many people are not wearing their masks properly, which puts others and themselves at risk. Therefore, we decided to try to create a machine learning model that is able to detect if people are wearing their masks properly. This can be used with autonomous robots that can alert people if they are not wearing their masks properly, and can help improve the proper usage of masks.
What it does
Detects if people are wearing their masks properly.
How we built it
We built it using YOLO Pytorch and OpenCV
Challenges we ran into
YOLOv5 ran into issues of corrupted images with duplicate labels even though there are no duplicated labels. we downgraded to YOLOv4.

Log in or sign up for Devpost to join the conversation.