#*2023-232* Development of a Real-Time Object Recognition and Navigation System for Visually Impaired Persons in Indoor Environments Using Container Security. The visually impaired face many challenges in navigating through indoor environments such as classrooms and lecture halls. Existing assistive technologies, such as canes and guide dogs, have limitations and may not provide adequate support for navigating complex indoor environments. In this research, we aim to develop a comprehensive system that can assist visually impaired persons in navigating indoor environments. The system will use computer vision algorithms and techniques to accurately recognize and identify objects and obstacles in indoor environments, such as desks, chairs, doors, and people. Navigation assistance: Based on the recognized objects and obstacles in the environment, the system will provide real-time navigation assistance to visually impaired persons through auditory feedback. The system will feature a user-friendly interface that is accessible to visually impaired persons, with easy-to-understand navigation instructions.