Braille-Vox Pro Empowering Inclusive Communication
Prakhar Nigam
Department of CSE
Apex Institute of Technology
Chandigarh University
Chandigarh, India
prakharnigam222@gmail.com
Rajiv Ranjan
Department of CSE
Apex Institute of Technology
Chandigarh University
Chandigarh, India
rajivanjan2304@gmail.com
Abstract - Braille-Vox Pro is an innovative project with the objective of creating a voice-to-Braille conversion system for individuals with vision impairments. The project intends to overcome the reading and writing difficulties encountered by visually impaired individuals, which can have a substantial impact on their ability to access information and communicate effectively. By turning spoken words into Braille text in real-time, the technology will give a practical answer to these issues, allowing visually impaired people to be more autonomous and productive.
The research employs advanced natural language processing algorithms capable of effectively recognizing and interpreting spoken words and translating them to Braille text. Also, the system will include a Braille display device that will allow visually impaired individuals to read the transformed text. The development of this technology will give visually impaired individuals with a new degree of accessibility and inclusion, providing them more effective communication and information access.
The Braille-Vox Pro project is a huge advancement in assistive technology, providing visually impaired folks with a much-needed answer to their difficulties. By allowing individuals to read and write Braille with their voice, the technology will enhance their capacity to communicate, gain access to information, and participate more fully in society. This project has the potential to aid millions of visually impaired individuals worldwide, which is a tremendous impact. The Braille-Vox Pro project is an innovative and vital Endeavor that will have a significant influence on the lives of individuals with vision impairments.
[1] Keywords— Sub-images, Fuzzy logic, Image enhancement, Histogram, HSV, Image processing.