WiFi Enabled in Campus Surveillance System Using HAAR Cascade Algorithm

Abstract

Abstract: This paper focuses on the development of Wifi Enabled in Campus Surveillance System Using Haar Cascade Algorithm. The system captures and stores images of individuals accessing a building and matches them against a pre-existing database of authorized personnel. If a match is found, the system logs the entry time. Similarly, during exit, the same process will be followed. Unlike access cards or passwords, which can be easily stolen or shared, a person's face cannot be replicated or forged, making it a more reliable means of identification and identify any security breaches. With this system, authorized personnel can simply walk into the building, and their entry is automatically recorded. Overall, This system utilizing face recognition technology is a powerful security solution that offers enhanced security, improved efficiency, and real-time monitoring capabilities. Its ability to authenticate individuals based on their facial features is making it an attractive option for organizationslooking to improve their security.