Real Time Security System using Yolo Technology

Abstract

For the majority of individuals, safety has now become a top priority. The rise in bank threats is concerning, as banks are frequently targeted by criminals. The rise in bank crimes has become a severe problem. To combat such dangers, it is critical to verify the identity of the person who enters the bank. The primary goal of this project is to create a gadget for bank security using Image processing. Because of this, many individuals who may or may not know us are gaining access to our personal workspace. There are other difficulties, such as the loss of important papers and valuables. Even the most advanced technology, such as a fingerprint sensor lock, may be easily opened. As a result, we will create an AI-based security room and locker system to address this issue. With the aid of our growing project, we were able to use facial recognition to discover and analyze people, as well as monitor them. In the proposed work, we apply LBPH (local binary pattern) and machine learning approaches to tackle the present system problem of reducing the recognize time of many items in less time with the best time complexity.