This research study introduces cutting-edge assistive technology that provides precise distance calculation and real-time object identification to enable people with vision impairments. With the help of the MobileNetV3 trained model, the system can recognize up to 91 distinct items at once, providing a thorough awareness of the user's surroundings. In addition to identifying particular items, the system evaluates the distances between various things in the field of vision and between the user and those objects. It utilizes sophisticated computer vision algorithms to provide reliable object detection and depth estimates, therefore mitigating the difficulties encountered by those with visual impairments. By using a well-crafted aural interface to provide distance information, the audio feedback function improves the user experience. Through the provision of accurate and timely spatial layout information, our technology seeks to enhance the ability of visually impaired people to navigate and to become independently mobile. In order to guarantee successful integration into the everyday life of the visually handicapped, the research also addresses the difficulties in designing such systems, such as the requirement for real-time processing, environmental adaptation, and user-friendly aural feedback.