TL;DR
The development of an intelligent visual aid incorporating object detection, face recognition, distance estimation, distance estimation, and text-to-speech audio feedback is outlined.
Visual impairment is a universal health burden, and one of the most pressing concerns in the world, as it is estimated that there are 2.2 billion afflicted persons in the world, which is highly constraining in their free movements, their interactions with the surrounding, as well as on their social interrelation. White...
An AI-powered assistive system designed to enhance the mobility, safety, and independence of visually impaired individuals, creating a smart, voice-guided companion that empowers visually impaired users to navigate their surroundings with confidence and independence.
Findings indicate the practical feasibility of the proposed system for real-time assistive navigation, demonstrating low-cost implementation, contextual interaction capabilities, and the potential to address several limitations of existing wearable navigation systems.
A vision-enabled virtual robotic head which is entirely running inside a web browser and includes modules like Speech-to-Text, Large Language Models, Text-to-Speech, and vision processing using FastAPI and WebSocket architecture is developed.
A multimodal deep learning system that combines Vision-Language Transformers like CLIP, Face Re-identification networks, and Graph Neural Networks in order to help in locating and tracking missing children demonstrates a high possibility of combining it with police technology.
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