SIAS: Sensory Impairment Assistive Software

Authors

  • Supriya C Department of Information Science and Engineering, Acharya Institute of Technology, Bengaluru, Karnataka -560107, India.
  • Janavi Mahesh Department of Information Science and Engineering, Acharya Institute of Technology, Bengaluru, Karnataka -560107, India.
  • Karan Department of Information Science and Engineering, Acharya Institute of Technology, Bengaluru, Karnataka -560107, India.
  • Keerthana K S Department of Information Science and Engineering, Acharya Institute of Technology, Bengaluru, Karnataka -560107, India.
  • Navyashree R Department of Information Science and Engineering, Acharya Institute of Technology, Bengaluru, Karnataka -560107, India.

DOI:

https://doi.org/10.9734/bpi/mono/978-93-48859-98-3/CH16

Keywords:

Deep learning, yolo algorithms, CNN, tesseract OCR, TTS, STT

Abstract

SIAS – Sensory Impairment Assistive Software, presents an innovative application of YOLO (You Only Look Once), and CNN (Convolutional Neural Network). Through Python-based deep learning techniques, the system leverages YOLO’s speed and accuracy to identify objects within a live camera feed, providing vocal announcements to the user. Furthermore, it offers a few additional features, which include gesture-to-speech conversion to facilitate communication between the physically challenged, Text-to-speech conversion, and Image Processing. This proposes an innovative communication system framework for deaf, dumb and blind people within a single compact device.

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Published

2025-01-14

How to Cite

Supriya C, Janavi Mahesh, Karan, Keerthana K S, & Navyashree R. (2025). SIAS: Sensory Impairment Assistive Software. Leading the Charge: A Guide to Management, Entrepreneurship and Technology in the Dynamic Business Landscape Edition 1, 245–259. https://doi.org/10.9734/bpi/mono/978-93-48859-98-3/CH16

Issue

Leading the Charge: A Guide to Management, Entrepreneurship and Technology in the Dynamic Business Landscape Edition 1

Section

Contents