Advance Anti-Theft Flooring Security System using Raspberry PI

The abstract discusses the innovative application of an anti-theft flooring system integrated with facial recognition technology, facilitated by Raspberry Pi. Highlighting the system's capability to not only detect unauthorized access but also to identify individuals through facial recognition, the paper emphasizes the technical components, including the usage of Raspberry Pi hardware and software, alongside comprehensive facial recognition algorithms and databases. Additionally, the abstract touches upon the diverse potential applications of this system, spanning various contexts such as residential, commercial, and retail environments. By providing a concise overview of the system's advantages and limitations, the abstract illuminates the path for potential future research and development endeavors. The anti-theft flooring system represents a significant advancement in security technology, allowing for seamless identification and prevention of unauthorized access. By efficiently integrating Raspberry Pi and facial recognition, the system offers an unobtrusive and highly secure solution for safeguarding restricted areas. However, the abstract acknowledges the need for continued research in addressing any potential challenges associated with privacy concerns and ensuring cost-effectiveness. In summary, the abstract serves as a comprehensive introduction to the review paper, providing a glimpse into the sophisticated design and practical implications of the cutting-edge anti-theft flooring system. By seamlessly combining facial recognition technology and Raspberry Pi, the system stands as a testament to the continuous innovation in security solutions, catering to the diverse needs of modern-day security implementations.