Facial recognition is a biometric recognition technology that verifies identity using information about human facial features so it is used for access control systems. Current access control systems are implemented using traditional Radio Frequency Identification (RFID) technology or keys. Users must carry an access card or key and the access card or a key can be forgotten, lost or copied by others to use an access control system. This study proposes a multi-function facial recognition access control system that uses Python and Intelligence RFID. The system's facial recognition scheme uses Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) facial recognition algorithms. This addresses a problem with current facial recognition technology, which achieve good results for different facial models under different lighting conditions. To render the system more user-friendly and versatile, the system requires swiping and a password. The Intelligence RFID access control function uses a high frequency (13.56 MHz) and the ISO/IEC14443-3 protocol is used for data communication between the access card and the card reader. Using a dynamic binary search algorithm, the password is saved and read using an EEPROM. This study uses a combination of software and hardware to allow double confirmation, which increases the stability and accuracy of the system. The system designed in this paper not only improves security, but also has more flexible functions than other access control systems. This is a good example of other systems trying to implement more flexible validation.

中文翻译：

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多功能门禁系统设计


面部识别是一种生物识别技术，利用人类面部特征信息验证身份，因此用于访问控制系统。当前的访问控制系统是使用传统的射频识别（RFID）技术或钥匙来实现的。用户必须携带门禁卡或钥匙，并且门禁卡或钥匙可能会忘记、丢失或被他人复制才能使用门禁系统。本研究提出了一种使用Python和智能RFID的多功能面部识别访问控制系统。该系统的人脸识别方案采用主成分分析（PCA）和线性判别分析（LDA）人脸识别算法。这解决了当前面部识别技术在不同光照条件下针对不同面部模型取得良好效果的问题。为了使系统更加用户友好和多功能，系统需要刷卡和密码。智能RFID门禁功能采用高频（13.56 MHz），门禁卡与读卡器之间采用ISO/IEC14443-3协议进行数据通信。使用动态二进制搜索算法，使用 EEPROM 保存和读取密码。本研究采用软硬件结合的方式进行双重确认，提高了系统的稳定性和准确性。本文设计的系统不仅提高了安全性，而且比其他门禁系统具有更灵活的功能。这是其他系统尝试实现更灵活验证的一个很好的例子。