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AIris: An AI-powered Wearable Assistive Device for the Visually Impaired

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arxiv 2405.07606 v2 pith:GVC47A6W submitted 2024-05-13 cs.HC cs.CV

classification cs.HCcs.CV
keywords airisassistiveimpairedusersvisuallyai-poweredawarenessdevice
verification ladder T0 review T1 audit T2 compute T3 formal
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Assistive technologies for the visually impaired have evolved to facilitate interaction with a complex and dynamic world. In this paper, we introduce AIris, an AI-powered wearable device that provides environmental awareness and interaction capabilities to visually impaired users. AIris combines a sophisticated camera mounted on eyewear with a natural language processing interface, enabling users to receive real-time auditory descriptions of their surroundings. We have created a functional prototype system that operates effectively in real-world conditions. AIris demonstrates the ability to accurately identify objects and interpret scenes, providing users with a sense of spatial awareness previously unattainable with traditional assistive devices. The system is designed to be cost-effective and user-friendly, supporting general and specialized tasks: face recognition, scene description, text reading, object recognition, money counting, note-taking, and barcode scanning. AIris marks a transformative step, bringing AI enhancements to assistive technology, enabling rich interactions with a human-like feel.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. AI-based Wearable Vision Assistance System for the Visually Impaired: Integrating Real-Time Object Recognition and Contextual Understanding Using Large Vision-Language Models

    cs.CV 2024-12 reject novelty 4.0 of 10

    A prototype wearable vision assistant for blind users combining on-device object and face recognition with a cloud GPT-4o-mini scene description, but with weak evaluation and unreliable references.

  2. AI-Powered Assistive Technologies for Visual Impairment

    cs.HC 2025-01 unverdicted

    A narrative review of AI-powered assistive technologies for visual impairment, presenting a taxonomy of tools and challenges but no new primary evidence.

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