Smart technology and open computer tools have advanced blind and low-vision navigation system development in recent years. This study examines the newest guide systems, their theoretical foundations, real-world applications, and the unsolved issues in this rapidly evolving subject. Wearable electronics, smartphone applications, and ambient sensors let vision impaired persons move and be more independent. GPS, computer vision, and real-time data processing let these systems guide, locate impediments, and alert you. Wearable gear like smart glasses and haptic feedback devices may now provide location awareness via sound and touch. Smartphone applications exploit the widespread usage of mobile devices to deliver customized navigation aids and link to cloud-based services. Despite these advancements, guidance system implementation and performance remain issues. Technology still has issues like tracking tool accuracy and adaptability. Data privacy, system reliability, and cost worries might make these technologies tougher to employ for many individuals. Combining artificial intelligence and machine learning to make systems more adaptable and aware is one method to enhance things. Mixing sensors and managing data in real time may improve guidance systems. Researchers, technology producers, and end users must collaborate to address challenges and advance the area.