Introduction: Having a noble cause, our work intends enhancing the quality of life for individuals who are visually impaired by effectively combining aural feedback systems with object detection technologies. By addressing practical problems, this incorporation improves the community’s general quality of life and safety. Objectives: Our primary objective is to provide individuals with visual impairments the necessary tools and information to navigate their surroundings effectively. By doing this, we hope to encourage inclusivity and enable them full involvement in daily activities. Methods: We used the You Only Look Once (YOLO) approach, namely YOLOv4, which is well known for its remarkable mean Average Precision (mAP) score of 92% and realtime object identification capabilities, to accomplish our goals. We had applied the 80 class names as well as bounding boxes in the COCO Dataset for effective item identification. This technology uses the relative distances among objects in order to offer visually impaired people more timely and reliable access to essential distance information. Results: We were able to create a system that can quickly and accurately detect items in real time when there are multiple objects by utilizing the COCO Dataset and the YOLOv4 approach.Furthermore, relative distance drive improves the user’s vision when identifying numerous objects. Conclusion: Our research indicates an important breakthrough in addressing challenges faced by people who are visually impaired. We developed a key strategy that encourages greater inclusivity and involvement in day-to-day activities while also improving mobility and safety through the application of innovative and state-of-the-art techniques.