Visitor Monitoring System Using Raspberry PI and PI Camera

1 Pub Date : 2023-06-01 DOI:10.46632/jeae/2/1/8
Pulla Rajkumar, K. Keerthana, Gali Saicharan, M. Manikanta, B. Raju
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Abstract

. The visitor monitoring system (VMS) offers a convenient solution for front desk officers to easily search and monitor the visitors on a given day, ensuring a secure environment for organizations. By employing our application, organizations can effectively protect themselves from unauthorized individuals. Our system operates efficiently with minimal resources, allowing organizations to track visitors and maintain records for future reference. To implement this, we integrate a camera with a raspberry pi to capture images of visitors entering through gates or doors. We employ the haar cascade algorithm for face detection and utilize numpy and pillow python algorithms for face recognition. Consequently, our system establishes a database that keeps track of visitors who visit the organization. To ensure the security of the premises, visitors are granted entry only after their identity is verified using either the face recognition technique or by sending a one-time password (OTP) to their registered mobile number. This feature proves highly effective in preventing unauthorized individuals from gaining access to the campus, thus enhancing overall security measures.
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基于树莓派和PI摄像头的访客监控系统
. 访客监控系统(VMS)为前台人员提供了一个方便的解决方案,可以方便地搜索和监控某一天的访客,确保组织的安全环境。通过使用我们的应用程序,组织可以有效地保护自己免受未经授权的个人的侵害。我们的系统以最少的资源高效运作,让机构可以追踪访客,并保留记录以备将来参考。为了实现这一点,我们将相机与树莓派集成在一起,以捕捉通过大门或门进入的访客的图像。我们采用haar级联算法进行人脸检测,并利用numpy和pillow python算法进行人脸识别。因此,我们的系统建立了一个数据库,跟踪访问该组织的访问者。为确保处所的安全,访客只有在使用人脸识别技术或向其注册的流动电话输入一次密码核实身份后,才可进入。事实证明,该功能在防止未经授权的个人进入校园方面非常有效,从而增强了整体安全措施。
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