Real-time Object Detection for Enhanced Security: Implementing YOLO Technology

The primary goal of this project is to offer a tool for bank security. As a result, a large number of people who may or may not know us are using the personal workplace. The loss of assets and significant paperwork is one of several issues. Even the most advanced technology, such as a fingerprint sensor lock, may be unlocked with ease. To address this problem, we will thus develop an AI based security room and locker system. Project included using artificial intelligence to track users with the aid of our evolving project. We reduce the time it takes to recognise many items while preserving the greatest level of temporal complexity in the proposed research by using local binary patterns (LBPH) and machine learning techniques. To ensure that only those with the proper authorization may open the door, this system is interfaced with the hardware system run by the ATMEGA328P microcontroller.