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
- C. Shyamala Kumari (ORCID: https://orcid.org/0000-0001-5659-7000)
- Manoj Kumar (ORCID: https://orcid.org/0000-0001-6909-6424)
- S. Durai (ORCID: https://orcid.org/0000-0002-6140-0791)
- Dornadula Sudha Karthisri
- Potlluru Venkata Sai Sukhesh
Institutions
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
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