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Vision Assist for the Visually Impaired
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Author(s): Hindumathi Voruganti (BVRIT HYDERABAD College of Engineering for Women, India), Santhosh Kumar Veeramalla (BVRIT HYDERABAD College of Engineering for Women, India), Naga Vishnu Vardhan Jutur (BVRIT Hyderabad College of Engineering for Women, India), Rama Lakshmi Gali (BVRIT Hyderabad College of Engineering for Women, India)and Praveena Manne (BVRIT Hyderabad College of Engineering for Women, India)
Copyright: 2025
Pages: 38
Source title:
Future Innovations in the Convergence of AI and Internet of Things in Medicine
Source Author(s)/Editor(s): Velliangiri Sarveshwaran (National Chung Cheng University, Taiwan), Karthikeyan Periyaswami (National Chung Cheng University, Taiwan)and Keping Yu (University of Hosei, Japan)
DOI: 10.4018/979-8-3693-7703-1.ch015
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Abstract
In a world where visual information dominates, individuals with visual impairments face significant challenges in comprehending and traversing their surroundings independently. Tasks such as interpreting their environment, identifying faces, and navigating obstacles present formidable obstacles. Addressing these challenges is crucial to improving the daily lives of visually impaired individuals. “Vision Assist for the Visually Impaired” introduces an innovative solution that seamlessly integrates facial recognition and obstacle detection technologies. Departing from conventional wearability, this approach allows the device to be discreetly integrated into the user's routine, either slipped into a pocket or clipped onto clothing. Leveraging the capabilities of Raspberry Pi, users can train the system with facial images and corresponding names for personalized audio output upon detecting familiar faces. Concurrently, ultrasonic sensors detect obstacles in real-time, providing audio feedback on their proximity to ensure safe navigation.
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