MONITORING OF PRIVATE SPACE WITH THE LOCAL BINARY PATTERN HISTOGRAM ALGORITHM

The main goal of this project is to create an application for security purposes. 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 losing 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. This project used artificial intelligence to discover and evaluate people, as well as track them using our ongoing initiative. We tackle the current system problem in the proposed work using LBPH (local binary pattern) and machine learning approaches to lower the recognition time of many items in less time.