International Research Journal of Education and Technology

The proposed project focuses on developing a cutting-edge anti-robbery flooring device that combines Raspberry Pi, Internet of Things (IoT) technologies, and infrared cameras to enhance security in sensitive regions. This technology is especially effective during activities that take place after midnight since it seeks to provide real-time danger detection with enhanced thermal imaging capabilities. Through the use of machine learning algorithms trained on an extensive thermal dataset, the gadget is able to recognize objects that are not authorized or questionable sports.In order to ensure that users are alerted as soon as an ability hazard is detected, the computer is programmed to automatically send out an email notifying them of the use of the "smtplib" module. It also has an aural deterrent, such as a buzzer or prank voice, that acts as an active defense against someone with the ability to break in.This dual approach helps trigger reactions to unwanted access attempts in addition to increasing awareness.The floor device's contemporary form overcomes limitations of traditional security systems, which frequently rely on visible cameras and motion sensors. Sensors embedded in the flooring reduce the system's vulnerability to evasion techniques employed by trespassers. Its efficiency is further increased by the incorporation of thermal imaging, which allows for detection in low-visibility settings.

Keywords: Anti-theft flooring system, IoT security, infrared cameras, machine learning, real-time detection,automation alert.