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Purpose -The study aims the development of a wearable device to combat the onslaught of covid-19.Likewise, to enhance the regular face shield available in the market.Furthermore, to raise awareness of the health and safety protocols initiated by the government and its affiliates in the enforcement of social distancing with the integration of computer vision algorithms.Method -The wearable device was composed of various hardware and software components such as a transparent polycarbonate face shield, microprocessor, sensors, camera, thin-film transistor on-screen display, jumper wires, power bank, and python programming language.The algorithm incorporated in the study was object detection under computer vision machine learning.The front camera with OpenCV technology Recommendations -For future modifications, an integration of a wireless personal thermal scanner would be a great advantage.Practical Implications -The innovations integrated with the wearable smart-face shield can help users observe social distancing to combat the covid-19.Due to its expensive production costs, producing this kind of device for public consumption is not practical.
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Santos et al. (2023) studied this question.
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