PEDESTRIAN DETECTION FOR VISUALLY DISABLED USING COMPUTER VISION

The advancement of computer vision technology has opened up new opportunities to enhance the mobility and independence of visually impaired individuals. This paper presents a novel approach for pedestrian detection tailored to the specific needs of the visually disabled. The proposed system employs state-of-the-art computer vision techniques to detect pedestrians in real- time, providing audio and haptic feedback to the user. The core of our system consists of a deep neural network architecture trained on a diverse dataset of pedestrian images, encompassing a wide range of poses, clothing, and environmental conditions. The model's ability to accurately detect pedestrians in real-world scenarios is crucial for its effectiveness. The system processes live video feeds from a wearable camera, and upon detecting pedestrians, it generates descriptive audio cues and haptic signals to provide the user with information about the pedestrian's presence, location, and relative motion [8]. These cues enable the visually impaired user to navigate safely through various urban environments, including crowded streets, crosswalks, and public transit hubs. Our experimental results demonstrate the system's robustness in detecting pedestrians under challenging conditions, such as low lighting, adverse weather, and occlusions. User feedback indicates improved situational awareness and increased confidence when navigating public spaces, which ultimately enhances the quality of life for visually disabled individuals. This real-time feedback is crucial for the visually impaired individuals as it helps them be aware of the presence, location, and motion of pedestrians around them. This is especially important in busy and challenging environments such as crowded streets, crosswalks, and public transportation hubs. The system's effectiveness has been validated through experiments, showing its ability to work well even in adverse conditions like low lighting and situations where pedestrians may be partially obscured. Overall, this research contributes to the development of assistive technologies, offering visually impaired individuals increased independence and safety when navigating modern urban environments. It enhances their ability to confidently move through these spaces, ultimately improving their quality of life