Vision Aid: AI-Powered Assistive Technology for the Visually Impaired
Vision Aid is a tech tool powered by AI that intends to increase the self-reliance and well-being of people who have impaired sight. This mobile application offers features such as medicine identification, emotion detection, and real-time facial recognition, providing intelligent support through advanced deep learning algorithms. The system, with convolutional neural network as well as via transfer learning, rapidly recognizes a number of known faces, understands multiple emotional signals, along with reads prescription labels, in addition to translating this entire store of information into real-time spoken feedback. By fostering user autonomy, the software also addresses critical issues like social isolation, medication management, and safety, creating a comprehensive and inclusive experience. The potential for scalability exists, as the data and training models can be repurposed for different datasets. For instance, an eye model could serve as a sensor for an autonomous mobile robot for tasks such as object recognition or environmental awareness. Vision Aid, along with assistive technology continuing improvement, is certainly a breakthrough for many people with visual impairments so they can improve capability in closing the divide across the environment surrounding them.
Authors
- Eugene Joseph
- P. S. Sreejith
- M Nayana
- P. Parvathi
- Anil Antony (ORCID: https://orcid.org/0000-0003-0476-8167)
- Donna K Jomy
Institutions
- ASA College (US)
Publication Details
- Journal
- AIJR Proceedings
- Published
- 2025-09-23
- DOI
- https://doi.org/10.21467/proceedings.7.5.3
- Primary Topic
- Tactile and Sensory Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00