Fortified Footsteps: A Scalable Anti-Theft Flooring System Integrating Facial Recognition and OTP Security
Aniket Bhoyar, Gulrukh Nazneen, Ritu Pawar, V.D. Shinde, Vaishnavi Tajane, Premlata Sonewane, Siddhesh Hude · 2024
The rise in unauthorized access and theft in homes and businesses has increased the need for security systems that go beyond traditional surveillance. Improve your steps: Scalable anti-theft floor system combined with facial recognition and OTP security offers a new IoT-based solution designed to enhance security through instant discovery and multiple layers of evidence. The system uses piezoelectric pressure sensors embedded in the floor to detect anomalies and allows the camera to capture images of the attacker's face. The image is then processed using facial recognition algorithms and compared with authorized facial data. If the face is recognized, the system generates a secure one-time password (OTP) that is sent to the mobile phone number by the GSM module to enter the correct OTP within the specified time to gain access. If the OTP is not entered correctly, the system will be locked and the intrusion attempt will be reported to the owner. Integrating IoT, facial recognition, and OTP-based two-factor authentication, this anti-theft floor system enhances security, reduces false alarms, and provides security for many locations such as homes, offices, and high-security areas. This study details the design, implementation, and performance of the proposed system, placing it as a robust security system that addresses the vulnerabilities of traditional systems and provides security protection.