智慧生活的來臨，物聯網(Internet of Things，IoT)、大數據(Big Data)、深度學習(Deep Learning)、人工智能(AI)，已成為我們生活不可或缺的一部分。因應這次全球流行的新冠肺炎(COVID-15)，如何有效的控管進出人員狀況，並取代舊有的打卡方式，使公司能快速地了解公司成員的健康狀況，因此本論文研究將設計一套健康打卡系統，來解決上述的問題。
本系統的目的是實做一個智慧健康打卡系統，結合健康數據記錄與智慧控管員工的出缺席，使用成本較便宜且基於ARM Cortex-A53為架構的Raspberry Pi 3b 開發板並搭配相機，經由KNN臉部辨識判斷成員身分與紀錄報到時間，並利用紅外線非接觸式測溫(MCU90615)與紅外線測心跳感測器，檢測員工的健康數值，最後加上ASR智能語音系統，讓使用者可以不需使用手操控機器就能完成使用。主管或企業高層，可利用設計好的管理頁面，一目了然員工的出缺勤，與圖表統計的健康資訊，並了檢目前公司成員的健康狀況。員工可透過手持行動裝置或電腦，快速觀看自我的健康數據，以及自我的出缺勤。

The era of intelligent life is coming. The Internet of Things (IoT), Big Data, Deep Learning, and Artificial Intelligence (AI) is gradually becoming an indispensable part of human social life, profoundly changing our life and the whole world. During the outbreak of 2019 novel coronavirus (COVID-19), I designed a set of healthcare attendance system, which effectively control the status of personnel entry and exit, replace the old way of punching cards and the company manager can quickly figure out the health status of employees.
The purpose of the study was to implement a smart healthcare attendance system that records health data and employee absences. First of all, we use the low-power ARM Cortex-A53 single-board computer, Raspberry Pi 3b evaluation board, with a camera to determine the member's identity by KNN (K-nearest neighbor algorithm) and record check-in time. Then, we use an infrared thermometer module called MCU90615 for non-contact temperature measurements and infrared heartbeat device to detect employee health situation. Finally, adding ASR (Automatic Speech Recognition) intelligent voice system, so that user can control the machine without their hands to complete the task. Executive or manager can quickly understand the attendance records of all the employees, the medical chart, and the current health status of staff. Employees can rapidly view their health data and their absences by mobile devices or computers.

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