Enhancing Accessibility for the Visually Impaired through Text Voice-Activated Images

Empowering the Blind with Text-to-Image Voice Commands: This project combines CNN and object detection methods to enable the blind and visually handicapped. A reliable text-to-image identification system that can precisely describe the content of photos was created by utilizing CNN’s power. Real-time item identification and description in the surrounding environment is made possible by this system’s integration with object detection techniques. With voice command integration and an intuitive interface, people with visual impairments can easily interact with photos and hear in-depth descriptions. Widespread acceptance is ensured by the system’s conformance with current accessibility requirements and extensive testing and improvement that guarantee its correctness and usefulness. By giving visually handicapped people additional abilities to navigate and comprehend the visual world around them, this creative method has the potential to greatly improve their freedom and quality of life. The suggested solution makes use of cutting-edge object detection methods to glean useful information from photos taken with a smartphone or wearable camera. CNN is used to interpret these images and is trained to identify different objects, text, and surrounding features. Text-to-speech (TTS) technology is used to convert the text and objects into descriptive audio feedback after they have been recognized. This gives the user access to real-time auditory descriptions of their environment. Compared to conventional assistive technologies, this novel technique has various advantages for the visually handicapped. It offers a smooth, user-friendly interface that needs little effort on the part of the user, making it easier for those who are visually impaired to obtain information and interact with their environment. Furthermore, the capacity to analyze information in real-time guarantees prompt feedback, improving situational awareness and encouraging increased independence in day-to-day tasks.

Authors

Institutions

Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/icssas64001.2024.10760492
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Accessibility for the Visually Impaired through Text Voice-Activated Images

C. Shyamala Kumari, Manoj Kumar, S. Durai, Dornadula Sudha Karthisri et al.
Tactile and Sensory Interactions
article

Enhancing Accessibility for the Visually Impaired through Text Voice-Activated Images

C. Shyamala Kumari, Manoj Kumar, S. Durai, Dornadula Sudha Karthisri, Potlluru Venkata Sai Sukhesh
article en

Abstract

Empowering the Blind with Text-to-Image Voice Commands: This project combines CNN and object detection methods to enable the blind and visually handicapped. A reliable text-to-image identification system that can precisely describe the content of photos was created by utilizing CNN’s power. Real-time item identification and description in the surrounding environment is made possible by this system’s integration with object detection techniques. With voice command integration and an intuitive interface, people with visual impairments can easily interact with photos and hear in-depth descriptions. Widespread acceptance is ensured by the system’s conformance with current accessibility requirements and extensive testing and improvement that guarantee its correctness and usefulness. By giving visually handicapped people additional abilities to navigate and comprehend the visual world around them, this creative method has the potential to greatly improve their freedom and quality of life. The suggested solution makes use of cutting-edge object detection methods to glean useful information from photos taken with a smartphone or wearable camera. CNN is used to interpret these images and is trained to identify different objects, text, and surrounding features. Text-to-speech (TTS) technology is used to convert the text and objects into descriptive audio feedback after they have been recognized. This gives the user access to real-time auditory descriptions of their environment. Compared to conventional assistive technologies, this novel technique has various advantages for the visually handicapped. It offers a smooth, user-friendly interface that needs little effort on the part of the user, making it easier for those who are visually impaired to obtain information and interact with their environment. Furthermore, the capacity to analyze information in real-time guarantees prompt feedback, improving situational awareness and encouraging increased independence in day-to-day tasks.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
Quality Education
Openalex Percentile: Top 73%
Tactile and Sensory Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.