Prototype Model Development using Python for Detection of Transparent Face Mask and Identification of the State of Usage of Transparent Face Mask

Abstract

Purpose – The right use of face masks is one of the health practices that have been implemented in response to the COVID-19 pandemic danger. The automated monitoring of face mask usage is aided using face mask detection models. 

Methodology – A prototype model that can detect and identify the state of usage of a transparent face mask was developed using the object detection model Resnet50. It was trained with datasets containing people wearing proper and improper way of transparent masks and people who do not wear masks. The proponents also employed OpenCV to enable computer vision, which is utilized for methods of image processing like reading and resizing.

Result – The prototype model's overall accuracy and precision were tested on 19 distinct test scenarios, with the prototype model obtaining an average of 50.21% accuracy and 49.96% precision. The worst-case scenario for the prototype model's responsiveness is 2 frames per second.

Conclusion – The prototype model was developed as part of a pilot study to detect and identify the state of use of a transparent face mask. The test demonstrated that the prototype model can detect and identify the state of use of transparent face masks, namely proper, improper, and no mask, accurately, precisely, and responsively.

Recommendation – Future researchers must consider utilizing new techniques to further train the model; this may be accomplished by adding more images to the dataset as well as applying various types of pre-trained/hybrid models that are more optimal.

Practical Implications – The prototype model promotes health security and public safety and adheres to standard data privacy protections in the usage of a transparent face mask.

Author Biographies

Luigi Carlo M. De Jesus, School of Engineering, Asia Pacific College, Philippines

Luigi Carlo M. De Jesus is a Master of Engineering Major in Computer Engineering graduate of Asia Pacific College. He is a licensed Electronics Engineer, Electronics Technician (2nd Placer), and the current Engineering and Science Laboratory Office (ESLO) Head of Asia Pacific College - School of Engineering.

Jex O. De Los Santos, School of Engineering, Asia Pacific College, Philippines

Jex O. De Los Santos is an SM Scholar student at Asia Pacific College pursuing a Bachelor of Science in Computer Engineering. He oversees the development and quality assurance of the prototype model, which assisted the researcher in determining whether the project's functionalities and objectives were satisfied.

John Robby C. Escoto, School of Engineering, Asia Pacific College, Philippines

John Robby C. Escoto is a Bachelor of Science in Computer Engineering student at Asia Pacific College. He assisted with the training of the prototype model and the documentation of the project.

Keith Jasmine R. Macalino, School of Engineering, Asia Pacific College, Philippines

Keith Jasmine R. Macalino is a Bachelor of Science in Computer Engineering student at Asia Pacific College. She oversees the flow of the prototype model's functions and means.

Mariel Joy V. Mendoza, School of Engineering, Asia Pacific College, Philippines

Mariel Joy V. Mendoza is an AFP - OLC Scholar student at Asia Pacific College pursuing a Bachelor of Science in Computer Engineering. She oversees overseeing the complete team's operations and deliverables, as well as contributing to the project's in-depth research, testing, and evaluation.

Leonardo A. Samaniego Jr., School of Engineering, Asia Pacific College, Philippines

Leonardo M. Samaniego Jr. holds an Electronics Engineer license. He also holds a Master of Engineering degree with a major in Electronics Engineering from MAPUA Institute of Technology. He is currently the Executive Director of Asia Pacific College's School of Engineering.

Sergio R. Peruda Jr., School of Engineering, Asia Pacific College, Philippines

Sergio R. Peruda Jr. is a Professional Computer Engineer. He is currently the Program Director of Computer Engineering at Asia Pacific College.

Stanley Glenn E. Brucal, School of Engineering, Asia Pacific College, Philippines

Stanley Glenn E. Brucal earned his BS Electronics Engineering from Adamson University (2003) and a Master of Engineering major in Electronics and Communications Engineering from De La Salle University (2006). He is a Professional Electronics Engineer (PECE), an ASEAN Chartered Professional Engineer (ACPE), and currently the Registrar of Asia Pacific College.

Einstein D. Yong, School of Engineering, Asia Pacific College, Philippines

Einstein D. Yong is a Professional Computer Engineer. He is currently an Associate Professor at Asia Pacific College's School of Engineering.

Juan Miguel Villarroel, School of Engineering, Asia Pacific College, Philippines

Juan Miguel H. Villarroel holds an Electronics Engineer license (3rd Placer). He is now pursuing his graduate degree at MAPUA Institute of Technology. He is currently a Full-Time Faculty Member at Asia Pacific College's School of Engineering.

Paulo Cosio

Paulo Cosio is a licensed Electronics Engineer. He is now pursuing his graduate degree at St. Joseph College. He is a Full-Time Faculty Member at Asia Pacific College's School of Engineering.

Published
2023-04-14
How to Cite
DE JESUS, Luigi Carlo M. et al. Prototype Model Development using Python for Detection of Transparent Face Mask and Identification of the State of Usage of Transparent Face Mask. International Journal of Computing Sciences Research, [S.l.], v. 7, p. 1905-1922, apr. 2023. ISSN 2546-115X. Available at: <//stepacademic.net/ijcsr/article/view/408>. Date accessed: 20 apr. 2024.
Section
Special Issue: IRCCETE 2023

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