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        "description": "<p style=\"text-align:start;\"><span style=\"color: rgb(73,80,87);background-color: rgb(251,252,252);font-size: 13px;font-family: Open Sans;\">COVID-19 has plagued almost all corners of the world, including in Indonesia where the most common symptom is fever up to 38℃. Therefore, at this time in various places have imposed body temperature checks to detect the body temperature of visitors. To inhibit the spread of COVID-19 , the Government appeals to the public to implement health protocols, including wearing masks. This is the basis for making a visitor's body temperature detector when entering a building or public room, not only detecting body temperature but this tool is also able to detect the use of masks using the Haar Cascade Classifier method as one of the applications. An appeal from the government regarding health protocols. </span></p>\n<p style=\"text-align:left;\"><span style=\"color: rgb(73,80,87);background-color: rgb(251,252,252);font-size: 13px;font-family: Open Sans;\">The mask detection tool and body temperature detector use Arduino UNO as a microcontroller, ESP32-Cam as a face detection camera, MLX90614 sensor as a body temperature detector, LCD to display information about the results of body temperature detection and also masks, and servos as door movers. In designing the automatic door to detect face masks and body temperature, the author uses a Flowchart as a method for designing the system, this system is made using the C++ programming language and also the Open CV (Open Computer Vision) algorithm. Then perform system testing using hardware testing. After testing, conclusions are made whether the functions, inputs, and outputs of the system are in accordance with the required specifications or not. </span>&nbsp;</p>\n",
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