Realtime Detection of Masks and Distance in an Effort to Control Physical Distancing based on Faster R-CNN

Agus Khumaidi, Intan Sari, Joko Endrasmono, Ryan Adhitya

2021

Abstract

According to the Circular Letter of the Governor of East Java in 2020 concerning Control, Supervision, and Law Enforcement in the Implementation of Large-Scale Social Restrictions in East Java in point 1b, it explains that everyone is required to wear a mask and maintain a distance of at least 1 meter when in outside the home, while point 2b explains that the person in charge of a restaurant / restaurant / similar business is obliged to maintain a distance in the queue of at least 1 meter between customers. In this study, The Faster R-CNN method has been applied to classify objects; people, masks, and no masks. Before the classification process is carried out, the dataset is collected and trained first. This classification applies to the queuing conditions in the room. From the results of real-time trials, the success of the model when classifying objects in the form of masks, no masks, and people has an average success of 92,67% with a safe detection distance of 400 cm. Based on the tests that have been carried out, the distance calculation using Euclidean Distance produces an average error of 4,591 % with the largest distance error reaching 7,32 cm.

Paper Citation

in Harvard Style

Khumaidi A., Sari I., Endrasmono J. and Adhitya R. (2021). Realtime Detection of Masks and Distance in an Effort to Control Physical Distancing based on Faster R-CNN. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 1034-1038. DOI: 10.5220/0010958400003260

in Bibtex Style

@conference{icast-es21,
author={Agus Khumaidi and Intan Sari and Joko Endrasmono and Ryan Adhitya},
title={Realtime Detection of Masks and Distance in an Effort to Control Physical Distancing based on Faster R-CNN},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={1034-1038},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010958400003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - Realtime Detection of Masks and Distance in an Effort to Control Physical Distancing based on Faster R-CNN
SN - 978-989-758-615-6
AU - Khumaidi A.
AU - Sari I.
AU - Endrasmono J.
AU - Adhitya R.
PY - 2021
SP - 1034
EP - 1038
DO - 10.5220/0010958400003260