Presents an AI-based system enhancing obstacle detection and recognition for visually impaired individuals, suggesting improved independence and social interaction.
Key Points
The study aims to develop an integrated AI system that assists visually impaired individuals by detecting obstacles, recognizing faces, and identifying currency.
Developed a Smart Assistive Vision System using Raspberry Pi 4.
Utilized computer vision techniques with OpenCV and deep learning models.
Implemented real-time visual input capture using a camera module.
Converted recognized information into audio feedback with a Text-to-Speech engine.
Achieved high detection accuracy for obstacles, faces, and currency.
Demonstrated reliable performance across various environmental conditions.
Provided a portable and cost-effective solution for assistive technology.