Face mask recognition system using CNN model.
Neurosci Inform
; 2(3): 100035, 2022 Sep.
Article
in English
| MEDLINE | ID: covidwho-2265773
ABSTRACT
COVID-19 epidemic has swiftly disrupted our day-to-day lives affecting the international trade and movements. Wearing a face mask to protect one's face has become the new normal. In the near future, many public service providers will expect the clients to wear masks appropriately to partake of their services. Therefore, face mask detection has become a critical duty to aid worldwide civilization. This paper provides a simple way to achieve this objective utilising some fundamental Machine Learning tools as TensorFlow, Keras, OpenCV and Scikit-Learn. The suggested technique successfully recognises the face in the image or video and then determines whether or not it has a mask on it. As a surveillance job performer, it can also recognise a face together with a mask in motion as well as in a video. The technique attains excellent accuracy. We investigate optimal parameter values for the Convolutional Neural Network model (CNN) in order to identify the existence of masks accurately without generating over-fitting.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Clinical_trials
Language:
English
Journal:
Neurosci Inform
Year:
2022
Document Type:
Article
Affiliation country:
J.neuri.2021.100035
Similar
MEDLINE
...
LILACS
LIS