IoT-driven accessibility: A refreshable OCR-Braille solution for visually impaired and deaf-blind users through WSN

Reddy, Kishor K.; Badam, Rithika; Alam, Shadab; Shuaib, Mohammed

doi:10.1016/j.ject.2024.04.007

Journal of Economy and Technology

2024

DOI: 10.1016/j.ject.2024.04.007

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IoT-driven accessibility: A refreshable OCR-Braille solution for visually impaired and deaf-blind users through WSN

Kishor K. Reddy,

Rithika Badam,

Shadab Alam

et al.

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2024

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Cited by 4 publications

References 18 publications

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Navigating the Intersection of Industry 6.0, Quantum Computing, and Disaster Management: Consumer Insights and Technological Impact

Suryanarayana Murthy,

Pardha Sai,

Doss

et al. 2024

Advances in Science, Technology &Amp; Innovation

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Navigating the Intersection of Industry 6.0, Quantum Computing, and Disaster Management: Consumer Insights and Technological Impact

Suryanarayana Murthy,

Pardha Sai,

Doss

et al. 2024

Advances in Science, Technology &Amp; Innovation

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AI and Education

Monika Singh,

Kishor Kumar Reddy,

Ramana Murthy

et al. 2024

Advances in Educational Technologies and Instructional Design

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This chapter explores how Artificial Intelligence (AI) is revolutionizing education by transforming traditional learning methods into more personalized, efficient, and accessible experiences. It examines the historical evolution of educational technologies, highlights the shift to AI-driven approaches, and outlines key elements such as data-driven insights, interactive learning environments, personalized platforms, and administrative task automation. The study discusses AI's advantages, including enhanced personalization, increased efficiency, improved accessibility, and greater student engagement. It also addresses challenges like data privacy, equity, teacher training, and ethical concerns. Through practical case studies, the paper offers insights into effective AI implementations and concludes with recommendations for future developments in AI-driven education.

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Next-Gen Healthcare

Parkar,

Shashank Kamath

2024

Advances in Medical Technologies and Clinical Practice

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This chapter will delve into the transformative potential of integrating artificial intelligence (AI) and the Internet of Things (IoT) in healthcare, highlighting future trends, challenges, risks, and opportunities. As healthcare systems evolve, the convergence of AI and IoT offers unprecedented opportunities for enhancing patient care, improving operational efficiency, and enabling predictive and preventive medicine. This chapter will examine how real-time data from wearable technologies, medical devices, and virtual health interactions can be synthesized through advanced predictive models to detect early signs of disease and optimize treatment plans.

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IoT-driven accessibility: A refreshable OCR-Braille solution for visually impaired and deaf-blind users through WSN

Cited by 4 publications

References 18 publications

Navigating the Intersection of Industry 6.0, Quantum Computing, and Disaster Management: Consumer Insights and Technological Impact

Navigating the Intersection of Industry 6.0, Quantum Computing, and Disaster Management: Consumer Insights and Technological Impact

AI and Education

Next-Gen Healthcare

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