How Can Machine Learning Help the Authorities?

Abstract

Corona Virus Desease (COVID-19) pandemic is causing health crisis in every region in the world, especially in Indonesia. One of the effective methods against the virus is wearing face mask in public place as the regulation made by the authorities. This paper introduces face mask detection that can be used by the authorities to make mitigation, evaluation, prevention, and action planning against COVID-19. On the other hand, this solution can be used as communication tool to evaluate people’s habit on wearing face mask. The face mask recognition in this study is developed with machine learning algorithm through the image classification method: MobileNetv2. The proposed model can be integrated with surveillance camera to impede the Covid-19 transmission by allowing the detection of people who are not wearing face mask. After the training, validation, and testing phase, the model can provide the percentage of people using face mask in some cities with high accuracy. The data produced also have a strong correlation to the vigilance index of COVID-19.

Detection of the Use of Mask to Prevent the Spread of COVID-19 Using SVM, Haar Cascade Classifier, and Robot Arm

“…Several kinds of research have been carried out related to the provision of user needs automatically and the selection of the distribution of masks. In their study, Sanjaya et al [3] successfully detected people's faces using the MobileNetv2 image classification method for 25 cities in Indonesia and concluded that the five cities were the highest and the five lowest cities in the application of the use of masks in these cities. The detection process is integrated with surveillance cameras to check people who are not wearing masks.…”