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New system detects squint and cataract via video for accessibility

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a real-time video-based system for detecting squint and cataract using computer vision. The system employs a media-pipe face-mesh model to extract ocular features for squint classification and analyzes grayscale intensity for cataract detection. This low-cost framework, deployable with standard cameras, achieved high accuracy rates of 98.39% for squint detection and 96.90% for cataract classification. The technology aims to improve web accessibility for individuals with visual impairments by enabling adaptive user interfaces. AI

IMPACT This research could lead to more accessible web interfaces and assistive technologies for individuals with visual impairments.

RANK_REASON The cluster describes a research paper detailing a new method for detecting medical conditions using computer vision.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New system detects squint and cataract via video for accessibility

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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Amar Ranjan Dash, Manas Ranjan Patra ·

    Video-Based Detection of squint and cataract for accessibility-aware adaptive web interface rendering

    arXiv:2607.07099v1 Announce Type: new Abstract: Squint and cataract are major ocular disorders that majorly affect visual perception and interaction capability. This paper proposes a real-time video-based automated detection system for squint and cataract detection based on compu…

  2. arXiv cs.CV TIER_1 English(EN) · Manas Ranjan Patra ·

    Video-Based Detection of squint and cataract for accessibility-aware adaptive web interface rendering

    Squint and cataract are major ocular disorders that majorly affect visual perception and interaction capability. This paper proposes a real-time video-based automated detection system for squint and cataract detection based on computer vision and image processing methods. The pro…

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