Fuzzy Controller-Assisted Obstacle Avoidance System for Visual Impairment

Navigating safely and independently through dynamic environments is a crucial concern for the visually impaired community. This paper presents an innovative approach for addressing the obstacle avoidance challenges faced by visually impaired individuals using fuzzy logic-based navigation integrated with audio feedback. This system combines fuzzy logic control with dual of distance laser sensors to enable real-time obstacle detection. The dual sensors setup enhance accuracy in obstacle localization, while fuzzy logic provides adaptive decision-making capabilities. The system's audio response mechanism conveys obstacle proximity information audibly, ensuring effective communication with the user. The system's efficacy is validated through simulations and several testing, affirming its potential to enhance obstacle detection and foster confident navigation for the visually impaired. This work contributes to advancing assistive technologies for visually impaired individuals, improving their mobility, and fostering their autonomy.