Visual impairment significantly impacts daily life, increasing the risk of injury and affecting physical and mental health. This project aims to develop an Extended Reality Visual Intelligence System (XRVIS) to support tele-visual assessment and enhance safety, mobility, and independence for people with visual impairment. Building on extended reality and artificial intelligence technologies, the study focuses on creating personalized visual assessment, object recognition, and obstacle detection tools tailored to individual visual needs. Core work includes developing AI-driven algorithms, translating advanced vision assessment into VR formats with objective evaluation support, integrating user-centred software refinement, and establishing training programs to enable effective adoption of XR-based assistance for daily navigation and visual assessment.