Development of face mask detection for COVID-19 enforcement

Mohd Zulkernain, Muhammad Aimani (2022) Development of face mask detection for COVID-19 enforcement. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

A technique for monitoring the most recently found coronavirus is proposed in this project Body Temperature Check and Face Mask Detector. Many people died in many countries including Malaysia due to this fatal disease. This condition has a wide variety of symptoms, making it difficult to determine whether a person is suffering from it. The symptoms are verified by WHO and we can identify this disease based on them. Using Arduino Uno, this proposed system can track people who not either wearing face mask or wearing it properly to enter the premises. A system is being developed that used MLX 90614 sensor and Python software with PC camera to perform thermal scanning of the human body and detected a face mask. If a person has symptoms and their body temperature is 100F or higher when scanning using a thermal scanner, it will show to the Lcd screen. If nothing happens to the person, they can pass to a premises. If the user got high temperature or not wearing a face mask, the face of users will be capture and their body temperature details will be sent to high management to take a action then buzzer and Led red will turn on. This design also will be doing the same if the person not wearing a face mask properly. This designed methodology system is untouched and runs on its own automatically. If properly implemented, the projects that are working on currently might be used to assist assure community protection and reliability. In this study, the proposed of this monitoring system, which is relevant to a small zone, such as laboratory, small market, office, and others small place.

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