## 5 Conclusions  
The thermography-based image acquisition system developed in this work proved helpful in estimating the effectiveness of the microparticle filtering of consumer-grade face masks. The exact filtration efficiency (FFE) required to prevent respiratory virus transmission was not precisely known; however, evidence from previous studies suggested that even face masks with an FFE of less than 95% (for example, surgical face masks) were effective in preventing the acquisition of epidemic coronaviruses (SARS-CoV-1, SARS-CoV-2). This article reported that heat loss through the micropores of various face mask materials substantially influenced filtration efficiency. By combining thermal imaging with deep learning tools, the consumer-grade face masks' effectiveness depending on heat loss through the manufacturing material was demonstrated. As a result, KN95 and neoprene face masks in which the micropores were virtually impenetrable were found adequate and efficient to prevent for the spread of COVID-19, unlike fabric or homemade face masks, in which the function of micropores was not adequate. These tests were designed to quantify the protection that face masks offer the wearer when exposed to other people who may be infected. One of the proposed method's deficiencies is that if there are variations in the environmental conditions (temperature and humidity) where the images are obtained, the error in the measurement increases considerably. Improving the method accuracy is necessary to increase the test bench by a considerable amount; the added images will be constantly updated to feed the data set with the necessary information that will allow adequate network training in order to generalize the results during the processing of the measurements. Conceptualization, J.A.F.-M., M.P.-P. and J.L.C.-A. ; data curation, Y.G.-B. and L.E.G.-R.; formal analysis, H.D.V.-D. and E.C.-C.; investigation, J.C.M.-M.; methodology, J.A.F.-M. and J.L.C.-A. ; software, Y.G.-B. ; supervision, M.P.-P.; validation, Y.G.-B. and E.C.-C.; visualization, J.A.G.-R.; writing--original draft preparation, J.A.F.-M., E.C.-C. and J.A.G.-R. All authors have read and agreed to the published version of the manuscript. This research received no external funding. This study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board of Tecnologico Nacional de Mexico/I.T Tuxtla Gutierrez (DI:523/2020). Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. Data Availability Statement: Data are available on request. I want to express my great appreciation to Tecnologico Nacional de Mexico/LT Tuxtla Gutierrez and the Consejo Nacional de Ciencia y Tecnologia (Conacyt) for their assistance in providing me with the resources I needed to run this work. The authors declare no conflict of interest. References  
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