Object Detection For The Visually Impaired Using Machine Learning

Abstract

This Project Applies Real-time Object Detection Using Artificial Intelligence (AI) And Computer Vision To Support Visually Impaired Individuals In Understanding And Interacting With Their Surroundings. By Combining A Live Video Feed From A Camera With An Object Detection Model, The System Provides Accurate, Real-time Identification Of Nearby Objects Through Auditory Cues. This Approach Aims To Empower Users To Make More Informed Decisions Rather Than Relying Solely On Memory Or External Assistance. Key Features Of The System Include: • Real-time Object Recognition. • Text-to-speech (TTS) Conversion For Audio Feedback. • A Lightweight, Portable Design Intended As A Low-cost Assistive Solution. The Project Discusses The Technical Architecture, Which Employs A Design Thinking Methodology For A User-centric Tool. The Outcome Demonstrates How AI-based Object Detection Can Transform Traditional Mobility Aids Into More Interactive, Intelligent, And User-centric Tools, Enhancing User Autonomy And Reducing Daily Navigation Challenges.

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