Real-Time Face Mask Detection OpenCV Python – During the COVID-19 pandemic, WHO mandated the use of masks to guard against the deadly virus. With regards to the mandate, we came up with a machine learning project called Real-Time Face Mask Detection was developed using Python OpenCV and Keras.
We used Python, Keras, and OpenCV to create a deep learning model for face mask identification in this project. The face mask detector model was created to determine whether or not a person is wearing a mask. We used Keras with network architecture to train the model.
When talking, breathing, or coughing, face coverings reduce the volume and travel distance of exhaled droplets. A face mask with no vents or holes will filter out virus-carrying particles from inhaled and exhaled air, lowering the risk of infection.
Display Real-Time Camera – For this functionality the system will display a real-time camera. Detecting Faces – For this functionality the real-time camera detect faces. Detecting Wearing Mask or Not – For this functionality the system detects if the person wearing face mask or not.
- Schools
- Malls
- Restaurant
- Public Places
- Hospitals and ETC.
Shuyin Xia (夏书银), Ph.D
School of Computer Science & Artificial Intelligence
Ex-Director of Chongqing Artificial Intelligence Society, Chongqing. China
Chongqing University of Posts and Telecommunication, China