Object Detection in Indoor Environment to Assist Visually Impaired Individuals at Office Work

In today's digital era, the integration of assistive technology for individuals with visual impairments is essential, especially in workplaces where accessibility is vital. This research introduces an innovative system aimed at supporting visually impaired people in office environments through sophisticated object detection and distance estimation methods. Our system utilizes real-time video and image analysis to recognize objects in the user's surroundings, delivering audio feedback to effectively guide them. Moreover, the system features email assistance through voice commands, allowing users to handle their communications without manual typing. The goal of this study is to improve the autonomy and efficiency of visually impaired professionals by bridging the gap in current object detection technologies designed for office spaces. By employing advanced machine learning algorithms and computer vision techniques, our system provides accurate and customized support, enabling users to navigate and interact with their workplace effortlessly. This paper outlines the system's development and implementation, highlighting the technical difficulties faced and the solutions developed. It also examines the potential effects of this technology on enhancing workplace inclusivity and accessibility. By equipping visually impaired individuals with dependable and user-friendly tools, our system aims to promote a more inclusive and fair professional environment.