House of the QR Code Scanner – Built for Accessibility

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Abstract

AbstractBackground: QR codes are widely used in public and healthcare environments to relay digital information. However, they remain inaccessible to individuals who are blind or have low vision due to reliance on visual interfaces.Objective: This paper presents the development of a low-cost, web-based, voice-assisted QR code scanner and outlines a proposed pilot study to evaluate its usability, accessibility impact, and potential applications in health and community settings.Methods: The scanner operates in a web browser using a standard webcam and the jsQR JavaScript library. It uses Web Speech API to vocalize scanned QR code content, eliminating the need for external apps or screen readers. A planned clinical trial will involve 30 visually impaired users, tracking usage patterns, satisfaction, and changes in perceived independence.Results (anticipated): Preliminary testing in informal settings suggests high ease-of-use and fast learning time. We expect the trial to validate the scanner’s role as a digital assistive tool and reveal opportunities for integration into healthcare, public infrastructure, and mental wellness use cases.Conclusions: This lightweight, deployable solution addresses a major accessibility gap using universally available technology. If validated, it can contribute to the broader inclusion of visually impaired individuals across health and social environments.

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