Research Abstract
The research proposes a vision intelligence layer that identifies nearby objects, path conditions, and potential hazards, then communicates actionable cues through assistive feedback channels.
Research Detail
Computer Vision-Based AI System for Assisting Visually Impaired Individuals
An assistive AI concept aimed at improving real-time environmental awareness for visually impaired users through scene understanding and contextual guidance.
Assistive AI Research
Status: Communicated
Focus: Accessibility & Mobility
Objective
Create a dependable navigation-assist system that transforms live visual data into meaningful prompts, helping users make safer movement decisions in complex urban and indoor settings.
Domain
Accessibility Technology
Current Status
Communicated
Mode
Real-Time Vision Assistance
AI/ML Concepts Used
- Object detection for scene-level perception
- Semantic interpretation for contextual warnings
- Distance and obstacle awareness heuristics
- Inference optimization for real-time feedback
- Human-centric AI output prioritization
Implementation Idea
A camera-enabled processing unit can run optimized detection models, classify mobility-relevant events, and output short audio guidance such as obstacle alerts, pathway suggestions, and nearby object identification.
Skills & Insights Developed
- Building AI systems for social impact outcomes
- Balancing inference performance with accessibility needs
- User-centered interface thinking for assistive tools
- Structuring research communication for inclusive innovation
Current Status
The research has been communicated and is positioned for prototype extension with mobile-first deployment and wider real-world usability testing.